* * * * * * * * * * * * model 1 : salamanders both populations: survival linked to animal length, capture probability linked to time, animal length, temperature and relative humidity Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 11:37:10 Page 001 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Welcome to MARK omerd on machine DESKTOP-DKAFHSA in subdirectory "C:\USERS\OMERD\DESKTOP\סקר דוחיים\MARK\BOTH_POPS_2022" running file "mrk1102z.tmp". This version was compiled by GCC version 10.3.0 using the options: -cpp -iprefix c:\tdm-gcc-64\gcc64\bin\../lib/gcc/x86_64-w64-mingw32/10.3.0/ -D_MT -U_REENTRANT -D IEEE -D DBLEPRECISION -m64 -mtune=generic -march=x86-64 -mthreads -O2 -std=f2018 -fimplicit-none -fbounds-check -funroll-loops -ftree-vectorize -ffpe-summary=invalid,zero,overflow,underflow -fno-unsafe-math-optimizations -frounding-math -fsignaling-nans -flto -fall-intrinsics -fopenmp. This problem will use 8 of 8 possible threads. INPUT --- proc title both_sites_2022; CPU Time for the last procedure was 0.01 seconds. INPUT --- proc chmatrix occasions=57 groups=2 etype=RDHuggins INPUT --- mixtures=1 Nodes=101 icovar=7 ICMeans NoHist hist=300; INPUT --- glabel(1)=AHUZA; INPUT --- glabel(2)=LOTEM; INPUT --- time interval 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 INPUT --- 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 INPUT --- 0 0 0 0 0 0; INPUT --- icovariates sex len1 len2 len3 len4 len5 len6; Number of unique encounter histories read was 211. Number of individual covariates read was 7. Time interval lengths vary and/or not equal to 1. Data type number is 13 Data type is Robust Design with Huggins' p and c CPU Time for the last procedure was 0.01 seconds. Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 11:37:10 Page 002 both_sites_2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - INPUT --- proc estimate link=Logit varest=2ndPart ; INPUT --- model={S(L)G''(.)G'(.)P(t+L+T+H)}; INPUT --- group=1 S rows=5 cols=5 Triang Time=1; INPUT --- group=2 S rows=5 cols=5 Triang Time=6; INPUT --- group=1 Gamma'' rows=5 cols=5 Triang Constant=11; INPUT --- group=2 Gamma'' rows=5 cols=5 Triang Constant=12; INPUT --- group=1 Gamma' rows=4 cols=4 Triang Constant=13; INPUT --- group=2 Gamma' rows=4 cols=4 Triang Constant=14; INPUT --- group=1 p Session 1 rows=1 cols=7 Square Time=15; INPUT --- group=2 p Session 1 rows=1 cols=7 Square Time=72; INPUT --- group=1 p Session 2 rows=1 cols=11 Square Time=22; INPUT --- group=2 p Session 2 rows=1 cols=11 Square Time=79; INPUT --- group=1 p Session 3 rows=1 cols=13 Square Time=33; INPUT --- group=2 p Session 3 rows=1 cols=13 Square Time=90; INPUT --- group=1 p Session 4 rows=1 cols=10 Square Time=46; INPUT --- group=2 p Session 4 rows=1 cols=10 Square Time=103; INPUT --- group=1 p Session 5 rows=1 cols=8 Square Time=56; INPUT --- group=2 p Session 5 rows=1 cols=8 Square Time=113; INPUT --- group=1 p Session 6 rows=1 cols=8 Square Time=64; INPUT --- group=2 p Session 6 rows=1 cols=8 Square Time=121; INPUT --- group=1 c Session 1 rows=1 cols=6 Square Time=16; Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 11:37:10 Page 003 both_sites_2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - INPUT --- group=2 c Session 1 rows=1 cols=6 Square Time=73; INPUT --- group=1 c Session 2 rows=1 cols=10 Square Time=23; INPUT --- group=2 c Session 2 rows=1 cols=10 Square Time=80; INPUT --- group=1 c Session 3 rows=1 cols=12 Square Time=34; INPUT --- group=2 c Session 3 rows=1 cols=12 Square Time=91; INPUT --- group=1 c Session 4 rows=1 cols=9 Square Time=47; INPUT --- group=2 c Session 4 rows=1 cols=9 Square Time=104; INPUT --- group=1 c Session 5 rows=1 cols=7 Square Time=57; INPUT --- group=2 c Session 5 rows=1 cols=7 Square Time=114; INPUT --- group=1 c Session 6 rows=1 cols=7 Square Time=65; INPUT --- group=2 c Session 6 rows=1 cols=7 Square Time=122; INPUT --- design matrix constraints=128 covariates=12; INPUT --- len1 0 0 0 0 0 0 0 0 0 0 0; INPUT --- len2 0 0 0 0 0 0 0 0 0 0 0; INPUT --- len3 0 0 0 0 0 0 0 0 0 0 0; INPUT --- len4 0 0 0 0 0 0 0 0 0 0 0; INPUT --- len5 0 0 0 0 0 0 0 0 0 0 0; INPUT --- len1 0 0 0 0 0 0 0 0 0 0 0; INPUT --- len2 0 0 0 0 0 0 0 0 0 0 0; INPUT --- len3 0 0 0 0 0 0 0 0 0 0 0; INPUT --- len4 0 0 0 0 0 0 0 0 0 0 0; INPUT --- len5 0 0 0 0 0 0 0 0 0 0 0; INPUT --- 0 1 0 0 0 0 0 0 0 0 0 0; INPUT --- 0 1 0 0 0 0 0 0 0 0 0 0; INPUT --- 0 0 1 0 0 0 0 0 0 0 0 0; INPUT --- 0 0 1 0 0 0 0 0 0 0 0 0; INPUT --- 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 0 1 0 0 0 0 len2 15 66.13953; Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 11:37:10 Page 004 both_sites_2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - INPUT --- 0 0 0 0 1 0 0 0 0 len2 13 50; INPUT --- 0 0 0 0 1 0 0 0 0 len2 17 60; INPUT --- 0 0 0 0 1 0 0 0 0 len2 11 60; INPUT --- 0 0 0 0 1 0 0 0 0 len2 10 70; INPUT --- 0 0 0 0 1 0 0 0 0 len2 9 60; INPUT --- 0 0 0 0 1 0 0 0 0 len2 11 60; INPUT --- 0 0 0 0 1 0 0 0 0 len2 11 45; INPUT --- 0 0 0 0 1 0 0 0 0 len2 9 80; INPUT --- 0 0 0 0 1 0 0 0 0 len2 12 65; INPUT --- 0 0 0 0 1 0 0 0 0 len2 8 70; INPUT --- 0 0 0 0 0 1 0 0 0 len3 18 65; INPUT --- 0 0 0 0 0 1 0 0 0 len3 16 78; INPUT --- 0 0 0 0 0 1 0 0 0 len3 18 67; INPUT --- 0 0 0 0 0 1 0 0 0 len3 13 72; INPUT --- 0 0 0 0 0 1 0 0 0 len3 15 64; INPUT --- 0 0 0 0 0 1 0 0 0 len3 13 70; INPUT --- 0 0 0 0 0 1 0 0 0 len3 12 70; INPUT --- 0 0 0 0 0 1 0 0 0 len3 10 68; INPUT --- 0 0 0 0 0 1 0 0 0 len3 12 64; INPUT --- 0 0 0 0 0 1 0 0 0 len3 11 70; INPUT --- 0 0 0 0 0 1 0 0 0 len3 9 65; INPUT --- 0 0 0 0 0 1 0 0 0 len3 11 74; INPUT --- 0 0 0 0 0 1 0 0 0 len3 12 64; INPUT --- 0 0 0 0 0 0 1 0 0 len4 13 68; INPUT --- 0 0 0 0 0 0 1 0 0 len4 12 65; INPUT --- 0 0 0 0 0 0 1 0 0 len4 9 70; INPUT --- 0 0 0 0 0 0 1 0 0 len4 10 70; INPUT --- 0 0 0 0 0 0 1 0 0 len4 12 66.13953; INPUT --- 0 0 0 0 0 0 1 0 0 len4 9 66.13953; INPUT --- 0 0 0 0 0 0 1 0 0 len4 9 66.13953; INPUT --- 0 0 0 0 0 0 1 0 0 len4 10 66.13953; INPUT --- 0 0 0 0 0 0 1 0 0 len4 10 60; INPUT --- 0 0 0 0 0 0 1 0 0 len4 12 88; INPUT --- 0 0 0 0 0 0 0 1 0 len5 15 52; INPUT --- 0 0 0 0 0 0 0 1 0 len5 14 67; INPUT --- 0 0 0 0 0 0 0 1 0 len5 13 77; INPUT --- 0 0 0 0 0 0 0 1 0 len5 12 67; INPUT --- 0 0 0 0 0 0 0 1 0 len5 14 75; INPUT --- 0 0 0 0 0 0 0 1 0 len5 11 56; INPUT --- 0 0 0 0 0 0 0 1 0 len5 9 60; INPUT --- 0 0 0 0 0 0 0 1 0 len5 8 72; INPUT --- 0 0 0 0 0 0 0 0 1 len6 12 46; INPUT --- 0 0 0 0 0 0 0 0 1 len6 10 70; INPUT --- 0 0 0 0 0 0 0 0 1 len6 11.60417 66.13953; INPUT --- 0 0 0 0 0 0 0 0 1 len6 11.60417 66.13953; Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 11:37:10 Page 005 both_sites_2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - INPUT --- 0 0 0 0 0 0 0 0 1 len6 10 76; INPUT --- 0 0 0 0 0 0 0 0 1 len6 7 60; INPUT --- 0 0 0 0 0 0 0 0 1 len6 8 65; INPUT --- 0 0 0 0 0 0 0 0 1 len6 12 69; INPUT --- 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 0 1 0 0 0 0 len2 15 66.13953; INPUT --- 0 0 0 0 1 0 0 0 0 len2 13 50; INPUT --- 0 0 0 0 1 0 0 0 0 len2 17 60; INPUT --- 0 0 0 0 1 0 0 0 0 len2 11 60; INPUT --- 0 0 0 0 1 0 0 0 0 len2 10 70; INPUT --- 0 0 0 0 1 0 0 0 0 len2 9 60; INPUT --- 0 0 0 0 1 0 0 0 0 len2 11 60; INPUT --- 0 0 0 0 1 0 0 0 0 len2 11 45; INPUT --- 0 0 0 0 1 0 0 0 0 len2 9 80; INPUT --- 0 0 0 0 1 0 0 0 0 len2 12 65; INPUT --- 0 0 0 0 1 0 0 0 0 len2 8 70; INPUT --- 0 0 0 0 0 1 0 0 0 len3 18 65; INPUT --- 0 0 0 0 0 1 0 0 0 len3 16 78; INPUT --- 0 0 0 0 0 1 0 0 0 len3 18 67; INPUT --- 0 0 0 0 0 1 0 0 0 len3 13 72; INPUT --- 0 0 0 0 0 1 0 0 0 len3 15 64; INPUT --- 0 0 0 0 0 1 0 0 0 len3 13 70; INPUT --- 0 0 0 0 0 1 0 0 0 len3 12 70; INPUT --- 0 0 0 0 0 1 0 0 0 len3 10 68; INPUT --- 0 0 0 0 0 1 0 0 0 len3 12 64; INPUT --- 0 0 0 0 0 1 0 0 0 len3 11 70; INPUT --- 0 0 0 0 0 1 0 0 0 len3 9 65; INPUT --- 0 0 0 0 0 1 0 0 0 len3 11 74; INPUT --- 0 0 0 0 0 1 0 0 0 len3 12 64; INPUT --- 0 0 0 0 0 0 1 0 0 len4 13 68; INPUT --- 0 0 0 0 0 0 1 0 0 len4 12 65; INPUT --- 0 0 0 0 0 0 1 0 0 len4 9 70; INPUT --- 0 0 0 0 0 0 1 0 0 len4 10 70; INPUT --- 0 0 0 0 0 0 1 0 0 len4 12 66.13953; INPUT --- 0 0 0 0 0 0 1 0 0 len4 9 66.13953; INPUT --- 0 0 0 0 0 0 1 0 0 len4 9 66.13953; INPUT --- 0 0 0 0 0 0 1 0 0 len4 10 66.13953; INPUT --- 0 0 0 0 0 0 1 0 0 len4 10 60; INPUT --- 0 0 0 0 0 0 1 0 0 len4 12 88; Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 11:37:10 Page 006 both_sites_2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - INPUT --- 0 0 0 0 0 0 0 1 0 len5 15 52; INPUT --- 0 0 0 0 0 0 0 1 0 len5 14 67; INPUT --- 0 0 0 0 0 0 0 1 0 len5 13 77; INPUT --- 0 0 0 0 0 0 0 1 0 len5 12 67; INPUT --- 0 0 0 0 0 0 0 1 0 len5 14 75; INPUT --- 0 0 0 0 0 0 0 1 0 len5 11 56; INPUT --- 0 0 0 0 0 0 0 1 0 len5 9 60; INPUT --- 0 0 0 0 0 0 0 1 0 len5 8 72; INPUT --- 0 0 0 0 0 0 0 0 1 len6 12 46; INPUT --- 0 0 0 0 0 0 0 0 1 len6 10 70; INPUT --- 0 0 0 0 0 0 0 0 1 len6 11.60417 66.13953; INPUT --- 0 0 0 0 0 0 0 0 1 len6 11.60417 66.13953; INPUT --- 0 0 0 0 0 0 0 0 1 len6 10 76; INPUT --- 0 0 0 0 0 0 0 0 1 len6 7 60; INPUT --- 0 0 0 0 0 0 0 0 1 len6 8 65; INPUT --- 0 0 0 0 0 0 0 0 1 len6 12 69; INPUT --- blabel(1)=; INPUT --- blabel(2)=; INPUT --- blabel(3)=; INPUT --- blabel(4)=; INPUT --- blabel(5)=; INPUT --- blabel(6)=; INPUT --- blabel(7)=; INPUT --- blabel(8)=; INPUT --- blabel(9)=; INPUT --- blabel(10)=; INPUT --- blabel(11)=; INPUT --- blabel(12)=; INPUT --- rlabel(1)=S; INPUT --- rlabel(2)=S; INPUT --- rlabel(3)=S; INPUT --- rlabel(4)=S; INPUT --- rlabel(5)=S; INPUT --- rlabel(6)=S; INPUT --- rlabel(7)=S; INPUT --- rlabel(8)=S; INPUT --- rlabel(9)=S; INPUT --- rlabel(10)=S; INPUT --- rlabel(11)=Gamma''; INPUT --- rlabel(12)=Gamma''; INPUT --- rlabel(13)=Gamma'; INPUT --- rlabel(14)=Gamma'; INPUT --- rlabel(15)=p Session 1; INPUT --- rlabel(16)=p Session 1; INPUT --- rlabel(17)=p Session 1; Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 11:37:10 Page 007 both_sites_2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - INPUT --- rlabel(18)=p Session 1; INPUT --- rlabel(19)=p Session 1; INPUT --- rlabel(20)=p Session 1; INPUT --- rlabel(21)=p Session 1; INPUT --- rlabel(22)=p Session 2; INPUT --- rlabel(23)=p Session 2; INPUT --- rlabel(24)=p Session 2; INPUT --- rlabel(25)=p Session 2; INPUT --- rlabel(26)=p Session 2; INPUT --- rlabel(27)=p Session 2; INPUT --- rlabel(28)=p Session 2; INPUT --- rlabel(29)=p Session 2; INPUT --- rlabel(30)=p Session 2; INPUT --- rlabel(31)=p Session 2; INPUT --- rlabel(32)=p Session 2; INPUT --- rlabel(33)=p Session 3; INPUT --- rlabel(34)=p Session 3; INPUT --- rlabel(35)=p Session 3; INPUT --- rlabel(36)=p Session 3; INPUT --- rlabel(37)=p Session 3; INPUT --- rlabel(38)=p Session 3; INPUT --- rlabel(39)=p Session 3; INPUT --- rlabel(40)=p Session 3; INPUT --- rlabel(41)=p Session 3; INPUT --- rlabel(42)=p Session 3; INPUT --- rlabel(43)=p Session 3; INPUT --- rlabel(44)=p Session 3; INPUT --- rlabel(45)=p Session 3; INPUT --- rlabel(46)=p Session 4; INPUT --- rlabel(47)=p Session 4; INPUT --- rlabel(48)=p Session 4; INPUT --- rlabel(49)=p Session 4; INPUT --- rlabel(50)=p Session 4; INPUT --- rlabel(51)=p Session 4; INPUT --- rlabel(52)=p Session 4; INPUT --- rlabel(53)=p Session 4; INPUT --- rlabel(54)=p Session 4; INPUT --- rlabel(55)=p Session 4; INPUT --- rlabel(56)=p Session 5; INPUT --- rlabel(57)=p Session 5; INPUT --- rlabel(58)=p Session 5; INPUT --- rlabel(59)=p Session 5; INPUT --- rlabel(60)=p Session 5; INPUT --- rlabel(61)=p Session 5; INPUT --- rlabel(62)=p Session 5; Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 11:37:10 Page 008 both_sites_2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - INPUT --- rlabel(63)=p Session 5; INPUT --- rlabel(64)=p Session 6; INPUT --- rlabel(65)=p Session 6; INPUT --- rlabel(66)=p Session 6; INPUT --- rlabel(67)=p Session 6; INPUT --- rlabel(68)=p Session 6; INPUT --- rlabel(69)=p Session 6; INPUT --- rlabel(70)=p Session 6; INPUT --- rlabel(71)=p Session 6; INPUT --- rlabel(72)=p Session 1; INPUT --- rlabel(73)=p Session 1; INPUT --- rlabel(74)=p Session 1; INPUT --- rlabel(75)=p Session 1; INPUT --- rlabel(76)=p Session 1; INPUT --- rlabel(77)=p Session 1; INPUT --- rlabel(78)=p Session 1; INPUT --- rlabel(79)=p Session 2; INPUT --- rlabel(80)=p Session 2; INPUT --- rlabel(81)=p Session 2; INPUT --- rlabel(82)=p Session 2; INPUT --- rlabel(83)=p Session 2; INPUT --- rlabel(84)=p Session 2; INPUT --- rlabel(85)=p Session 2; INPUT --- rlabel(86)=p Session 2; INPUT --- rlabel(87)=p Session 2; INPUT --- rlabel(88)=p Session 2; INPUT --- rlabel(89)=p Session 2; INPUT --- rlabel(90)=p Session 3; INPUT --- rlabel(91)=p Session 3; INPUT --- rlabel(92)=p Session 3; INPUT --- rlabel(93)=p Session 3; INPUT --- rlabel(94)=p Session 3; INPUT --- rlabel(95)=p Session 3; INPUT --- rlabel(96)=p Session 3; INPUT --- rlabel(97)=p Session 3; INPUT --- rlabel(98)=p Session 3; INPUT --- rlabel(99)=p Session 3; INPUT --- rlabel(100)=p Session 3; INPUT --- rlabel(101)=p Session 3; INPUT --- rlabel(102)=p Session 3; INPUT --- rlabel(103)=p Session 4; INPUT --- rlabel(104)=p Session 4; INPUT --- rlabel(105)=p Session 4; INPUT --- rlabel(106)=p Session 4; INPUT --- rlabel(107)=p Session 4; Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 11:37:10 Page 009 both_sites_2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - INPUT --- rlabel(108)=p Session 4; INPUT --- rlabel(109)=p Session 4; INPUT --- rlabel(110)=p Session 4; INPUT --- rlabel(111)=p Session 4; INPUT --- rlabel(112)=p Session 4; INPUT --- rlabel(113)=p Session 5; INPUT --- rlabel(114)=p Session 5; INPUT --- rlabel(115)=p Session 5; INPUT --- rlabel(116)=p Session 5; INPUT --- rlabel(117)=p Session 5; INPUT --- rlabel(118)=p Session 5; INPUT --- rlabel(119)=p Session 5; INPUT --- rlabel(120)=p Session 5; INPUT --- rlabel(121)=p Session 6; INPUT --- rlabel(122)=p Session 6; INPUT --- rlabel(123)=p Session 6; INPUT --- rlabel(124)=p Session 6; INPUT --- rlabel(125)=p Session 6; INPUT --- rlabel(126)=p Session 6; INPUT --- rlabel(127)=p Session 6; INPUT --- rlabel(128)=p Session 6; INPUT --- dlabel(1)=Grp 1 Ses 1 N; INPUT --- dlabel(2)=Grp 1 Ses 2 N; INPUT --- dlabel(3)=Grp 1 Ses 3 N; INPUT --- dlabel(4)=Grp 1 Ses 4 N; INPUT --- dlabel(5)=Grp 1 Ses 5 N; INPUT --- dlabel(6)=Grp 1 Ses 6 N; INPUT --- dlabel(7)=Grp 2 Ses 1 N; INPUT --- dlabel(8)=Grp 2 Ses 2 N; INPUT --- dlabel(9)=Grp 2 Ses 3 N; INPUT --- dlabel(10)=Grp 2 Ses 4 N; INPUT --- dlabel(11)=Grp 2 Ses 5 N; INPUT --- dlabel(12)=Grp 2 Ses 6 N; Link Function Used is LOGIT Variance Estimation Procedure Used is 2ndPart M(t+1): Group 1 = AHUZA 0 61 91 75 57 0 Group 2 = LOTEM 22 25 30 23 16 25 -2logL(saturated) = 0.0000000 Effective Sample Size = 709 Number of function evaluations was 32 for 12 parameters. CPU Time for numerical optimization was 1.44 seconds. Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 11:37:11 Page 010 both_sites_2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -2logL {S(L)G''(.)G'(.)P(t+L+T+H)} = 3744.2308 Penalty {S(L)G''(.)G'(.)P(t+L+T+H)} = 0.0000000 Gradient {S(L)G''(.)G'(.)P(t+L+T+H)}: 0.0000000 0.0000000 0.0000000 0.79979977E-05 0.97671760E-05 -0.91216861E-05 0.96735206E-05 0.0000000 0.0000000 0.0000000 0.0000000 -0.75720887E-05 Maximum ABS(G) {S(L)G''(.)G'(.)P(t+L+T+H)} = 0.9767176E-05 CPU Time to compute VC matrix was 0.97 seconds. S Vector {S(L)G''(.)G'(.)P(t+L+T+H)}: 702.8320 114.6017 78.74922 52.03367 31.60380 19.72921 10.46941 6.822757 2.840182 1.650198 0.2850366 0.3400433E-01 CPU Time to invert VC matrix was 0.01 seconds. Ratio Threshold = 50.000000 Max Gap (11/12) = 8.3823604 Next Max Gap (1/2) = 6.1328246 Gap Method for Num. of Estimated Parameters {S(L)G''(.)G'(.)P(t+L+T+H)} = 12 Threshold {S(L)G''(.)G'(.)P(t+L+T+H)} = 0.1953435E-04 Numerical Threshold Method for Num. of Estimated Parameters {S(L)G''(.)G'(.)P(t+L+T+H)} = 12 Number of Estimated Parameters {S(L)G''(.)G'(.)P(t+L+T+H)} = 12 DEVIANCE {S(L)G''(.)G'(.)P(t+L+T+H)} = 3744.2308 DEVIANCE Degrees of Freedom {S(L)G''(.)G'(.)P(t+L+T+H)} = 199 c-hat {S(L)G''(.)G'(.)P(t+L+T+H)} = 18.815230 AIC {S(L)G''(.)G'(.)P(t+L+T+H)} = 3768.2308 AICc {S(L)G''(.)G'(.)P(t+L+T+H)} = 3768.6790 BIC {S(L)G''(.)G'(.)P(t+L+T+H)} = 3822.9970 Pearson Chisquare {S(L)G''(.)G'(.)P(t+L+T+H)} = 0.2893092E+15 LOGIT Link Function Parameters of {S(L)G''(.)G'(.)P(t+L+T+H)} 95% Confidence Interval Parameter Beta Standard Error Lower Upper ------------------------- -------------- -------------- -------------- -------------- 1: 0.0617846 0.0086581 0.0448147 0.0787545 2: -2.4948276 0.7948418 -4.0527175 -0.9369378 3: -2.3267327 5.4182632 -12.946529 8.2930633 4: -2.8156523 0.8073593 -4.3980766 -1.2332280 5: -2.1245038 0.7063958 -3.5090397 -0.7399679 6: -2.3456071 0.7308789 -3.7781298 -0.9130844 7: -2.1547540 0.7352397 -3.5958238 -0.7136842 8: -2.7570144 0.7300238 -4.1878610 -1.3261678 9: -2.1756512 0.7506338 -3.6468936 -0.7044088 10: 0.1030061 0.0224177 0.0590674 0.1469449 11: 0.0401855 0.0202131 0.5677560E-03 0.0798033 12: -0.0344349 0.0059854 -0.0461663 -0.0227035 Real Function Parameters of {S(L)G''(.)G'(.)P(t+L+T+H)} Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 11:37:11 Page 011 both_sites_2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Following estimates based on unstandardized individual covariate values: Variable Value --------- ------------- SEX 0.3364929 LEN1 18.911943 LEN2 20.908057 LEN3 22.468626 LEN4 23.702844 LEN5 24.410758 LEN6 24.941659 95% Confidence Interval Parameter Estimate Standard Error Lower Upper -------------------------- -------------- -------------- -------------- -------------- 1:S 0.7628678 0.0296209 0.7000495 0.8159883 2:S 0.7844511 0.0306089 0.7184910 0.8384315 3:S 0.8003072 0.0310899 0.7324180 0.8543962 4:S 0.8122156 0.0313007 0.7431177 0.8660766 5:S 0.8187957 0.0313580 0.7491269 0.8724122 6:S 0.7628678 0.0296209 0.7000495 0.8159883 7:S 0.7844511 0.0306089 0.7184910 0.8384315 8:S 0.8003072 0.0310899 0.7324180 0.8543962 9:S 0.8122156 0.0313007 0.7431177 0.8660766 10:S 0.8187957 0.0313580 0.7491269 0.8724122 11:Gamma'' 0.0762216 0.0559663 0.0170784 0.2815193 12:Gamma'' 0.0762216 0.0559663 0.0170784 0.2815193 13:Gamma' 0.0889330 0.4390091 0.2384476E-05 0.9997498 14:Gamma' 0.0889330 0.4390091 0.2384476E-05 0.9997498 15:p Session 1 0.0642362 0.0218419 0.0325782 0.1227545 16:p Session 1 0.0642362 0.0218419 0.0325782 0.1227545 17:p Session 1 0.0642362 0.0218419 0.0325782 0.1227545 18:p Session 1 0.0642362 0.0218419 0.0325782 0.1227545 19:p Session 1 0.0642362 0.0218419 0.0325782 0.1227545 20:p Session 1 0.0642362 0.0218419 0.0325782 0.1227545 21:p Session 1 0.0642362 0.0218419 0.0325782 0.1227545 22:p Session 2 0.1617083 0.0246147 0.1190489 0.2159077 23:p Session 2 0.2368225 0.0320997 0.1797144 0.3053232 24:p Session 2 0.2052520 0.0323334 0.1490227 0.2758210 25:p Session 2 0.1686957 0.0227259 0.1286976 0.2180144 26:p Session 2 0.1213792 0.0181950 0.0899838 0.1617809 27:p Session 2 0.1577227 0.0224096 0.1185848 0.2067478 28:p Session 2 0.1686957 0.0227259 0.1286976 0.2180144 29:p Session 2 0.2538135 0.0359640 0.1899148 0.3304417 30:p Session 2 0.0859618 0.0155971 0.0599151 0.1218639 31:p Session 2 0.1509860 0.0210009 0.1142556 0.1968994 32:p Session 2 0.1130653 0.0180519 0.0822147 0.1535557 33:p Session 3 0.1756458 0.0213129 0.1376874 0.2213822 34:p Session 3 0.1116342 0.0134521 0.0878625 0.1408445 Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 11:37:11 Page 012 both_sites_2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 35:p Session 3 0.1658955 0.0203466 0.1297468 0.2096889 36:p Session 3 0.1204577 0.0103002 0.1016839 0.1421493 37:p Session 3 0.1635220 0.0149828 0.1362320 0.1950444 38:p Session 3 0.1279471 0.0106126 0.1085481 0.1502288 39:p Session 3 0.1235300 0.0102083 0.1048729 0.1449687 40:p Session 3 0.1222901 0.0112923 0.1018238 0.1462006 41:p Session 3 0.1476932 0.0123045 0.1251659 0.1734712 42:p Session 3 0.1192445 0.0102633 0.1005490 0.1408717 43:p Session 3 0.1292282 0.0133598 0.1052224 0.1577451 44:p Session 3 0.1055198 0.0096406 0.0880613 0.1259615 45:p Session 3 0.1476932 0.0123045 0.1251659 0.1734712 46:p Session 4 0.1776460 0.0182389 0.1446639 0.2162466 47:p Session 4 0.1870553 0.0184006 0.1536278 0.2258157 48:p Session 4 0.1465413 0.0154280 0.1188076 0.1794308 49:p Session 4 0.1516389 0.0152900 0.1240353 0.1840945 50:p Session 4 0.1811614 0.0178186 0.1488144 0.2187328 51:p Session 4 0.1639599 0.0170976 0.1331343 0.2002737 52:p Session 4 0.1639599 0.0170976 0.1331343 0.2002737 53:p Session 4 0.1695430 0.0168747 0.1389815 0.2052231 54:p Session 4 0.2014180 0.0209359 0.1634790 0.2455769 55:p Session 4 0.0943825 0.0143902 0.0697043 0.1266087 56:p Session 5 0.1930380 0.0250203 0.1486533 0.2468328 57:p Session 5 0.1205642 0.0154457 0.0934160 0.1542596 58:p Session 5 0.0853616 0.0127446 0.0634723 0.1138817 59:p Session 5 0.1122991 0.0137719 0.0880048 0.1422537 60:p Session 5 0.0942700 0.0138684 0.0703758 0.1251845 61:p Session 5 0.1507321 0.0183344 0.1181996 0.1902863 62:p Session 5 0.1248828 0.0162791 0.0963080 0.1604308 63:p Session 5 0.0831433 0.0124115 0.0618323 0.1109308 64:p Session 6 0.3299774 0.0487673 0.2422078 0.4314442 65:p Session 6 0.1658823 0.0270488 0.1193864 0.2258423 66:p Session 6 0.1950229 0.0305529 0.1419548 0.2618751 67:p Session 6 0.1950229 0.0305529 0.1419548 0.2618751 68:p Session 6 0.1392293 0.0245958 0.0976196 0.1947473 69:p Session 6 0.1991997 0.0327162 0.1426705 0.2710459 70:p Session 6 0.1789772 0.0289933 0.1289790 0.2429509 71:p Session 6 0.1823823 0.0295616 0.1313764 0.2475473 72:p Session 1 0.0642362 0.0218419 0.0325782 0.1227545 73:p Session 1 0.0642362 0.0218419 0.0325782 0.1227545 74:p Session 1 0.0642362 0.0218419 0.0325782 0.1227545 75:p Session 1 0.0642362 0.0218419 0.0325782 0.1227545 76:p Session 1 0.0642362 0.0218419 0.0325782 0.1227545 77:p Session 1 0.0642362 0.0218419 0.0325782 0.1227545 78:p Session 1 0.0642362 0.0218419 0.0325782 0.1227545 79:p Session 2 0.1617083 0.0246147 0.1190489 0.2159077 Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 11:37:11 Page 013 both_sites_2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 80:p Session 2 0.2368225 0.0320997 0.1797144 0.3053232 81:p Session 2 0.2052520 0.0323334 0.1490227 0.2758210 82:p Session 2 0.1686957 0.0227259 0.1286976 0.2180144 83:p Session 2 0.1213792 0.0181950 0.0899838 0.1617809 84:p Session 2 0.1577227 0.0224096 0.1185848 0.2067478 85:p Session 2 0.1686957 0.0227259 0.1286976 0.2180144 86:p Session 2 0.2538135 0.0359640 0.1899148 0.3304417 87:p Session 2 0.0859618 0.0155971 0.0599151 0.1218639 88:p Session 2 0.1509860 0.0210009 0.1142556 0.1968994 89:p Session 2 0.1130653 0.0180519 0.0822147 0.1535557 90:p Session 3 0.1756458 0.0213129 0.1376874 0.2213822 91:p Session 3 0.1116342 0.0134521 0.0878625 0.1408445 92:p Session 3 0.1658955 0.0203466 0.1297468 0.2096889 93:p Session 3 0.1204577 0.0103002 0.1016839 0.1421493 94:p Session 3 0.1635220 0.0149828 0.1362320 0.1950444 95:p Session 3 0.1279471 0.0106126 0.1085481 0.1502288 96:p Session 3 0.1235300 0.0102083 0.1048729 0.1449687 97:p Session 3 0.1222901 0.0112923 0.1018238 0.1462006 98:p Session 3 0.1476932 0.0123045 0.1251659 0.1734712 99:p Session 3 0.1192445 0.0102633 0.1005490 0.1408717 100:p Session 3 0.1292282 0.0133598 0.1052224 0.1577451 101:p Session 3 0.1055198 0.0096406 0.0880613 0.1259615 102:p Session 3 0.1476932 0.0123045 0.1251659 0.1734712 103:p Session 4 0.1776460 0.0182389 0.1446639 0.2162466 104:p Session 4 0.1870553 0.0184006 0.1536278 0.2258157 105:p Session 4 0.1465413 0.0154280 0.1188076 0.1794308 106:p Session 4 0.1516389 0.0152900 0.1240353 0.1840945 107:p Session 4 0.1811614 0.0178186 0.1488144 0.2187328 108:p Session 4 0.1639599 0.0170976 0.1331343 0.2002737 109:p Session 4 0.1639599 0.0170976 0.1331343 0.2002737 110:p Session 4 0.1695430 0.0168747 0.1389815 0.2052231 111:p Session 4 0.2014180 0.0209359 0.1634790 0.2455769 112:p Session 4 0.0943825 0.0143902 0.0697043 0.1266087 113:p Session 5 0.1930380 0.0250203 0.1486533 0.2468328 114:p Session 5 0.1205642 0.0154457 0.0934160 0.1542596 115:p Session 5 0.0853616 0.0127446 0.0634723 0.1138817 116:p Session 5 0.1122991 0.0137719 0.0880048 0.1422537 117:p Session 5 0.0942700 0.0138684 0.0703758 0.1251845 118:p Session 5 0.1507321 0.0183344 0.1181996 0.1902863 119:p Session 5 0.1248828 0.0162791 0.0963080 0.1604308 120:p Session 5 0.0831433 0.0124115 0.0618323 0.1109308 121:p Session 6 0.3299774 0.0487673 0.2422078 0.4314442 122:p Session 6 0.1658823 0.0270488 0.1193864 0.2258423 123:p Session 6 0.1950229 0.0305529 0.1419548 0.2618751 124:p Session 6 0.1950229 0.0305529 0.1419548 0.2618751 Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 11:37:11 Page 014 both_sites_2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 125:p Session 6 0.1392293 0.0245958 0.0976196 0.1947473 126:p Session 6 0.1991997 0.0327162 0.1426705 0.2710459 127:p Session 6 0.1789772 0.0289933 0.1289790 0.2429509 128:p Session 6 0.1823823 0.0295616 0.1313764 0.2475473 Estimates of Derived Parameters Population Estimates of {S(L)G''(.)G'(.)P(t+L+T+H)} 95% Confidence Interval Grp. Sess. N-hat Standard Error Lower Upper ---- ----- -------------- -------------- -------------- -------------- 1 1 0.0000000 0.0000000 0.2225074E-307 0.2225074E-307 1 2 109.00015 14.837188 87.552446 147.77220 1 3 118.63603 8.1668674 106.67380 139.72780 1 4 120.23401 12.362930 101.72980 151.54811 1 5 105.56655 13.274981 85.697719 139.19155 1 6 0.0000000 0.0000000 0.2225074E-307 0.2225074E-307 2 1 38.867342 9.5398813 28.006268 69.368390 2 2 33.114726 4.6979278 27.828942 48.276821 2 3 33.568098 2.1374302 31.205249 40.563232 2 4 30.527855 3.5725763 26.111943 41.210034 2 5 23.686996 3.8090713 19.068248 35.258518 2 6 29.985637 3.0812210 26.635226 40.200702 CPU Time for the last procedure was 2.52 seconds. INPUT --- proc stop; CPU Time in minutes for this job was 0.04 Time Start = 11:37:10.618 Time End = 11:37:11.598 Wall Clock Time in minutes for this job was 0.02 E X E C U T I O N S U C C E S S F U L * * * * * * * * * * * * model 2 : salamanders both populations: survival linked to animal length and population, capture probability linked to time, animal length, temperature and relative humidity Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 12:25:14 Page 001 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Welcome to MARK omerd on machine DESKTOP-DKAFHSA in subdirectory "C:\USERS\OMERD\DESKTOP\סקר דוחיים\MARK\BOTH_POPS_2022" running file "mrk9839z.tmp". This version was compiled by GCC version 10.3.0 using the options: -cpp -iprefix c:\tdm-gcc-64\gcc64\bin\../lib/gcc/x86_64-w64-mingw32/10.3.0/ -D_MT -U_REENTRANT -D IEEE -D DBLEPRECISION -m64 -mtune=generic -march=x86-64 -mthreads -O2 -std=f2018 -fimplicit-none -fbounds-check -funroll-loops -ftree-vectorize -ffpe-summary=invalid,zero,overflow,underflow -fno-unsafe-math-optimizations -frounding-math -fsignaling-nans -flto -fall-intrinsics -fopenmp. This problem will use 8 of 8 possible threads. INPUT --- proc title both_sites_2022; CPU Time for the last procedure was 0.01 seconds. INPUT --- proc chmatrix occasions=57 groups=2 etype=RDHuggins INPUT --- mixtures=1 Nodes=101 icovar=7 ICMeans NoHist hist=300; INPUT --- glabel(1)=AHUZA; INPUT --- glabel(2)=LOTEM; INPUT --- time interval 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 INPUT --- 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 INPUT --- 0 0 0 0 0 0; INPUT --- icovariates sex len1 len2 len3 len4 len5 len6; Number of unique encounter histories read was 211. Number of individual covariates read was 7. Time interval lengths vary and/or not equal to 1. Data type number is 13 Data type is Robust Design with Huggins' p and c CPU Time for the last procedure was 0.02 seconds. Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 12:25:14 Page 002 both_sites_2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - INPUT --- proc estimate link=Logit varest=2ndPart ; INPUT --- model={S(L+p)G''(.)G'(.)P(t+L+T+H)}; INPUT --- group=1 S rows=5 cols=5 Triang Time=1; INPUT --- group=2 S rows=5 cols=5 Triang Time=6; INPUT --- group=1 Gamma'' rows=5 cols=5 Triang Constant=11; INPUT --- group=2 Gamma'' rows=5 cols=5 Triang Constant=12; INPUT --- group=1 Gamma' rows=4 cols=4 Triang Constant=13; INPUT --- group=2 Gamma' rows=4 cols=4 Triang Constant=14; INPUT --- group=1 p Session 1 rows=1 cols=7 Square Time=15; INPUT --- group=2 p Session 1 rows=1 cols=7 Square Time=72; INPUT --- group=1 p Session 2 rows=1 cols=11 Square Time=22; INPUT --- group=2 p Session 2 rows=1 cols=11 Square Time=79; INPUT --- group=1 p Session 3 rows=1 cols=13 Square Time=33; INPUT --- group=2 p Session 3 rows=1 cols=13 Square Time=90; INPUT --- group=1 p Session 4 rows=1 cols=10 Square Time=46; INPUT --- group=2 p Session 4 rows=1 cols=10 Square Time=103; INPUT --- group=1 p Session 5 rows=1 cols=8 Square Time=56; INPUT --- group=2 p Session 5 rows=1 cols=8 Square Time=113; INPUT --- group=1 p Session 6 rows=1 cols=8 Square Time=64; INPUT --- group=2 p Session 6 rows=1 cols=8 Square Time=121; INPUT --- group=1 c Session 1 rows=1 cols=6 Square Time=16; Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 12:25:14 Page 003 both_sites_2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - INPUT --- group=2 c Session 1 rows=1 cols=6 Square Time=73; INPUT --- group=1 c Session 2 rows=1 cols=10 Square Time=23; INPUT --- group=2 c Session 2 rows=1 cols=10 Square Time=80; INPUT --- group=1 c Session 3 rows=1 cols=12 Square Time=34; INPUT --- group=2 c Session 3 rows=1 cols=12 Square Time=91; INPUT --- group=1 c Session 4 rows=1 cols=9 Square Time=47; INPUT --- group=2 c Session 4 rows=1 cols=9 Square Time=104; INPUT --- group=1 c Session 5 rows=1 cols=7 Square Time=57; INPUT --- group=2 c Session 5 rows=1 cols=7 Square Time=114; INPUT --- group=1 c Session 6 rows=1 cols=7 Square Time=65; INPUT --- group=2 c Session 6 rows=1 cols=7 Square Time=122; INPUT --- design matrix constraints=128 covariates=13; INPUT --- len1 0 0 0 0 0 0 0 0 0 0 0 0; INPUT --- len2 0 0 0 0 0 0 0 0 0 0 0 0; INPUT --- len3 0 0 0 0 0 0 0 0 0 0 0 0; INPUT --- len4 0 0 0 0 0 0 0 0 0 0 0 0; INPUT --- len5 0 0 0 0 0 0 0 0 0 0 0 0; INPUT --- len1 1 0 0 0 0 0 0 0 0 0 0 0; INPUT --- len2 1 0 0 0 0 0 0 0 0 0 0 0; INPUT --- len3 1 0 0 0 0 0 0 0 0 0 0 0; INPUT --- len4 1 0 0 0 0 0 0 0 0 0 0 0; INPUT --- len5 1 0 0 0 0 0 0 0 0 0 0 0; INPUT --- 0 0 1 0 0 0 0 0 0 0 0 0 0; INPUT --- 0 0 1 0 0 0 0 0 0 0 0 0 0; INPUT --- 0 0 0 1 0 0 0 0 0 0 0 0 0; INPUT --- 0 0 0 1 0 0 0 0 0 0 0 0 0; INPUT --- 0 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 0 0 1 0 0 0 0 len2 15 66.13953; Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 12:25:14 Page 004 both_sites_2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - INPUT --- 0 0 0 0 0 1 0 0 0 0 len2 13 50; INPUT --- 0 0 0 0 0 1 0 0 0 0 len2 17 60; INPUT --- 0 0 0 0 0 1 0 0 0 0 len2 11 60; INPUT --- 0 0 0 0 0 1 0 0 0 0 len2 10 70; INPUT --- 0 0 0 0 0 1 0 0 0 0 len2 9 60; INPUT --- 0 0 0 0 0 1 0 0 0 0 len2 11 60; INPUT --- 0 0 0 0 0 1 0 0 0 0 len2 11 45; INPUT --- 0 0 0 0 0 1 0 0 0 0 len2 9 80; INPUT --- 0 0 0 0 0 1 0 0 0 0 len2 12 65; INPUT --- 0 0 0 0 0 1 0 0 0 0 len2 8 70; INPUT --- 0 0 0 0 0 0 1 0 0 0 len3 18 65; INPUT --- 0 0 0 0 0 0 1 0 0 0 len3 16 78; INPUT --- 0 0 0 0 0 0 1 0 0 0 len3 18 67; INPUT --- 0 0 0 0 0 0 1 0 0 0 len3 13 72; INPUT --- 0 0 0 0 0 0 1 0 0 0 len3 15 64; INPUT --- 0 0 0 0 0 0 1 0 0 0 len3 13 70; INPUT --- 0 0 0 0 0 0 1 0 0 0 len3 12 70; INPUT --- 0 0 0 0 0 0 1 0 0 0 len3 10 68; INPUT --- 0 0 0 0 0 0 1 0 0 0 len3 12 64; INPUT --- 0 0 0 0 0 0 1 0 0 0 len3 11 70; INPUT --- 0 0 0 0 0 0 1 0 0 0 len3 9 65; INPUT --- 0 0 0 0 0 0 1 0 0 0 len3 11 74; INPUT --- 0 0 0 0 0 0 1 0 0 0 len3 12 64; INPUT --- 0 0 0 0 0 0 0 1 0 0 len4 13 68; INPUT --- 0 0 0 0 0 0 0 1 0 0 len4 12 65; INPUT --- 0 0 0 0 0 0 0 1 0 0 len4 9 70; INPUT --- 0 0 0 0 0 0 0 1 0 0 len4 10 70; INPUT --- 0 0 0 0 0 0 0 1 0 0 len4 12 66.13953; INPUT --- 0 0 0 0 0 0 0 1 0 0 len4 9 66.13953; INPUT --- 0 0 0 0 0 0 0 1 0 0 len4 9 66.13953; INPUT --- 0 0 0 0 0 0 0 1 0 0 len4 10 66.13953; INPUT --- 0 0 0 0 0 0 0 1 0 0 len4 10 60; INPUT --- 0 0 0 0 0 0 0 1 0 0 len4 12 88; INPUT --- 0 0 0 0 0 0 0 0 1 0 len5 15 52; INPUT --- 0 0 0 0 0 0 0 0 1 0 len5 14 67; INPUT --- 0 0 0 0 0 0 0 0 1 0 len5 13 77; INPUT --- 0 0 0 0 0 0 0 0 1 0 len5 12 67; INPUT --- 0 0 0 0 0 0 0 0 1 0 len5 14 75; INPUT --- 0 0 0 0 0 0 0 0 1 0 len5 11 56; INPUT --- 0 0 0 0 0 0 0 0 1 0 len5 9 60; INPUT --- 0 0 0 0 0 0 0 0 1 0 len5 8 72; INPUT --- 0 0 0 0 0 0 0 0 0 1 len6 12 46; INPUT --- 0 0 0 0 0 0 0 0 0 1 len6 10 70; INPUT --- 0 0 0 0 0 0 0 0 0 1 len6 11.60417 66.13953; INPUT --- 0 0 0 0 0 0 0 0 0 1 len6 11.60417 66.13953; Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 12:25:14 Page 005 both_sites_2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - INPUT --- 0 0 0 0 0 0 0 0 0 1 len6 10 76; INPUT --- 0 0 0 0 0 0 0 0 0 1 len6 7 60; INPUT --- 0 0 0 0 0 0 0 0 0 1 len6 8 65; INPUT --- 0 0 0 0 0 0 0 0 0 1 len6 12 69; INPUT --- 0 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 0 1 0 0 0 0 0 len1 11.60417 66.13953; INPUT --- 0 0 0 0 0 1 0 0 0 0 len2 15 66.13953; INPUT --- 0 0 0 0 0 1 0 0 0 0 len2 13 50; INPUT --- 0 0 0 0 0 1 0 0 0 0 len2 17 60; INPUT --- 0 0 0 0 0 1 0 0 0 0 len2 11 60; INPUT --- 0 0 0 0 0 1 0 0 0 0 len2 10 70; INPUT --- 0 0 0 0 0 1 0 0 0 0 len2 9 60; INPUT --- 0 0 0 0 0 1 0 0 0 0 len2 11 60; INPUT --- 0 0 0 0 0 1 0 0 0 0 len2 11 45; INPUT --- 0 0 0 0 0 1 0 0 0 0 len2 9 80; INPUT --- 0 0 0 0 0 1 0 0 0 0 len2 12 65; INPUT --- 0 0 0 0 0 1 0 0 0 0 len2 8 70; INPUT --- 0 0 0 0 0 0 1 0 0 0 len3 18 65; INPUT --- 0 0 0 0 0 0 1 0 0 0 len3 16 78; INPUT --- 0 0 0 0 0 0 1 0 0 0 len3 18 67; INPUT --- 0 0 0 0 0 0 1 0 0 0 len3 13 72; INPUT --- 0 0 0 0 0 0 1 0 0 0 len3 15 64; INPUT --- 0 0 0 0 0 0 1 0 0 0 len3 13 70; INPUT --- 0 0 0 0 0 0 1 0 0 0 len3 12 70; INPUT --- 0 0 0 0 0 0 1 0 0 0 len3 10 68; INPUT --- 0 0 0 0 0 0 1 0 0 0 len3 12 64; INPUT --- 0 0 0 0 0 0 1 0 0 0 len3 11 70; INPUT --- 0 0 0 0 0 0 1 0 0 0 len3 9 65; INPUT --- 0 0 0 0 0 0 1 0 0 0 len3 11 74; INPUT --- 0 0 0 0 0 0 1 0 0 0 len3 12 64; INPUT --- 0 0 0 0 0 0 0 1 0 0 len4 13 68; INPUT --- 0 0 0 0 0 0 0 1 0 0 len4 12 65; INPUT --- 0 0 0 0 0 0 0 1 0 0 len4 9 70; INPUT --- 0 0 0 0 0 0 0 1 0 0 len4 10 70; INPUT --- 0 0 0 0 0 0 0 1 0 0 len4 12 66.13953; INPUT --- 0 0 0 0 0 0 0 1 0 0 len4 9 66.13953; INPUT --- 0 0 0 0 0 0 0 1 0 0 len4 9 66.13953; INPUT --- 0 0 0 0 0 0 0 1 0 0 len4 10 66.13953; INPUT --- 0 0 0 0 0 0 0 1 0 0 len4 10 60; INPUT --- 0 0 0 0 0 0 0 1 0 0 len4 12 88; Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 12:25:14 Page 006 both_sites_2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - INPUT --- 0 0 0 0 0 0 0 0 1 0 len5 15 52; INPUT --- 0 0 0 0 0 0 0 0 1 0 len5 14 67; INPUT --- 0 0 0 0 0 0 0 0 1 0 len5 13 77; INPUT --- 0 0 0 0 0 0 0 0 1 0 len5 12 67; INPUT --- 0 0 0 0 0 0 0 0 1 0 len5 14 75; INPUT --- 0 0 0 0 0 0 0 0 1 0 len5 11 56; INPUT --- 0 0 0 0 0 0 0 0 1 0 len5 9 60; INPUT --- 0 0 0 0 0 0 0 0 1 0 len5 8 72; INPUT --- 0 0 0 0 0 0 0 0 0 1 len6 12 46; INPUT --- 0 0 0 0 0 0 0 0 0 1 len6 10 70; INPUT --- 0 0 0 0 0 0 0 0 0 1 len6 11.60417 66.13953; INPUT --- 0 0 0 0 0 0 0 0 0 1 len6 11.60417 66.13953; INPUT --- 0 0 0 0 0 0 0 0 0 1 len6 10 76; INPUT --- 0 0 0 0 0 0 0 0 0 1 len6 7 60; INPUT --- 0 0 0 0 0 0 0 0 0 1 len6 8 65; INPUT --- 0 0 0 0 0 0 0 0 0 1 len6 12 69; INPUT --- blabel(1)=; INPUT --- blabel(2)=; INPUT --- blabel(3)=; INPUT --- blabel(4)=; INPUT --- blabel(5)=; INPUT --- blabel(6)=; INPUT --- blabel(7)=; INPUT --- blabel(8)=; INPUT --- blabel(9)=; INPUT --- blabel(10)=; INPUT --- blabel(11)=; INPUT --- blabel(12)=; INPUT --- blabel(13)=; INPUT --- rlabel(1)=S; INPUT --- rlabel(2)=S; INPUT --- rlabel(3)=S; INPUT --- rlabel(4)=S; INPUT --- rlabel(5)=S; INPUT --- rlabel(6)=S; INPUT --- rlabel(7)=S; INPUT --- rlabel(8)=S; INPUT --- rlabel(9)=S; INPUT --- rlabel(10)=S; INPUT --- rlabel(11)=Gamma''; INPUT --- rlabel(12)=Gamma''; INPUT --- rlabel(13)=Gamma'; INPUT --- rlabel(14)=Gamma'; INPUT --- rlabel(15)=p Session 1; INPUT --- rlabel(16)=p Session 1; Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 12:25:14 Page 007 both_sites_2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - INPUT --- rlabel(17)=p Session 1; INPUT --- rlabel(18)=p Session 1; INPUT --- rlabel(19)=p Session 1; INPUT --- rlabel(20)=p Session 1; INPUT --- rlabel(21)=p Session 1; INPUT --- rlabel(22)=p Session 2; INPUT --- rlabel(23)=p Session 2; INPUT --- rlabel(24)=p Session 2; INPUT --- rlabel(25)=p Session 2; INPUT --- rlabel(26)=p Session 2; INPUT --- rlabel(27)=p Session 2; INPUT --- rlabel(28)=p Session 2; INPUT --- rlabel(29)=p Session 2; INPUT --- rlabel(30)=p Session 2; INPUT --- rlabel(31)=p Session 2; INPUT --- rlabel(32)=p Session 2; INPUT --- rlabel(33)=p Session 3; INPUT --- rlabel(34)=p Session 3; INPUT --- rlabel(35)=p Session 3; INPUT --- rlabel(36)=p Session 3; INPUT --- rlabel(37)=p Session 3; INPUT --- rlabel(38)=p Session 3; INPUT --- rlabel(39)=p Session 3; INPUT --- rlabel(40)=p Session 3; INPUT --- rlabel(41)=p Session 3; INPUT --- rlabel(42)=p Session 3; INPUT --- rlabel(43)=p Session 3; INPUT --- rlabel(44)=p Session 3; INPUT --- rlabel(45)=p Session 3; INPUT --- rlabel(46)=p Session 4; INPUT --- rlabel(47)=p Session 4; INPUT --- rlabel(48)=p Session 4; INPUT --- rlabel(49)=p Session 4; INPUT --- rlabel(50)=p Session 4; INPUT --- rlabel(51)=p Session 4; INPUT --- rlabel(52)=p Session 4; INPUT --- rlabel(53)=p Session 4; INPUT --- rlabel(54)=p Session 4; INPUT --- rlabel(55)=p Session 4; INPUT --- rlabel(56)=p Session 5; INPUT --- rlabel(57)=p Session 5; INPUT --- rlabel(58)=p Session 5; INPUT --- rlabel(59)=p Session 5; INPUT --- rlabel(60)=p Session 5; INPUT --- rlabel(61)=p Session 5; Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 12:25:14 Page 008 both_sites_2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - INPUT --- rlabel(62)=p Session 5; INPUT --- rlabel(63)=p Session 5; INPUT --- rlabel(64)=p Session 6; INPUT --- rlabel(65)=p Session 6; INPUT --- rlabel(66)=p Session 6; INPUT --- rlabel(67)=p Session 6; INPUT --- rlabel(68)=p Session 6; INPUT --- rlabel(69)=p Session 6; INPUT --- rlabel(70)=p Session 6; INPUT --- rlabel(71)=p Session 6; INPUT --- rlabel(72)=p Session 1; INPUT --- rlabel(73)=p Session 1; INPUT --- rlabel(74)=p Session 1; INPUT --- rlabel(75)=p Session 1; INPUT --- rlabel(76)=p Session 1; INPUT --- rlabel(77)=p Session 1; INPUT --- rlabel(78)=p Session 1; INPUT --- rlabel(79)=p Session 2; INPUT --- rlabel(80)=p Session 2; INPUT --- rlabel(81)=p Session 2; INPUT --- rlabel(82)=p Session 2; INPUT --- rlabel(83)=p Session 2; INPUT --- rlabel(84)=p Session 2; INPUT --- rlabel(85)=p Session 2; INPUT --- rlabel(86)=p Session 2; INPUT --- rlabel(87)=p Session 2; INPUT --- rlabel(88)=p Session 2; INPUT --- rlabel(89)=p Session 2; INPUT --- rlabel(90)=p Session 3; INPUT --- rlabel(91)=p Session 3; INPUT --- rlabel(92)=p Session 3; INPUT --- rlabel(93)=p Session 3; INPUT --- rlabel(94)=p Session 3; INPUT --- rlabel(95)=p Session 3; INPUT --- rlabel(96)=p Session 3; INPUT --- rlabel(97)=p Session 3; INPUT --- rlabel(98)=p Session 3; INPUT --- rlabel(99)=p Session 3; INPUT --- rlabel(100)=p Session 3; INPUT --- rlabel(101)=p Session 3; INPUT --- rlabel(102)=p Session 3; INPUT --- rlabel(103)=p Session 4; INPUT --- rlabel(104)=p Session 4; INPUT --- rlabel(105)=p Session 4; INPUT --- rlabel(106)=p Session 4; Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 12:25:14 Page 009 both_sites_2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - INPUT --- rlabel(107)=p Session 4; INPUT --- rlabel(108)=p Session 4; INPUT --- rlabel(109)=p Session 4; INPUT --- rlabel(110)=p Session 4; INPUT --- rlabel(111)=p Session 4; INPUT --- rlabel(112)=p Session 4; INPUT --- rlabel(113)=p Session 5; INPUT --- rlabel(114)=p Session 5; INPUT --- rlabel(115)=p Session 5; INPUT --- rlabel(116)=p Session 5; INPUT --- rlabel(117)=p Session 5; INPUT --- rlabel(118)=p Session 5; INPUT --- rlabel(119)=p Session 5; INPUT --- rlabel(120)=p Session 5; INPUT --- rlabel(121)=p Session 6; INPUT --- rlabel(122)=p Session 6; INPUT --- rlabel(123)=p Session 6; INPUT --- rlabel(124)=p Session 6; INPUT --- rlabel(125)=p Session 6; INPUT --- rlabel(126)=p Session 6; INPUT --- rlabel(127)=p Session 6; INPUT --- rlabel(128)=p Session 6; INPUT --- dlabel(1)=Grp 1 Ses 1 N; INPUT --- dlabel(2)=Grp 1 Ses 2 N; INPUT --- dlabel(3)=Grp 1 Ses 3 N; INPUT --- dlabel(4)=Grp 1 Ses 4 N; INPUT --- dlabel(5)=Grp 1 Ses 5 N; INPUT --- dlabel(6)=Grp 1 Ses 6 N; INPUT --- dlabel(7)=Grp 2 Ses 1 N; INPUT --- dlabel(8)=Grp 2 Ses 2 N; INPUT --- dlabel(9)=Grp 2 Ses 3 N; INPUT --- dlabel(10)=Grp 2 Ses 4 N; INPUT --- dlabel(11)=Grp 2 Ses 5 N; INPUT --- dlabel(12)=Grp 2 Ses 6 N; Link Function Used is LOGIT Variance Estimation Procedure Used is 2ndPart M(t+1): Group 1 = AHUZA 0 61 91 75 57 0 Group 2 = LOTEM 22 25 30 23 16 25 -2logL(saturated) = 0.0000000 Effective Sample Size = 709 Number of function evaluations was 34 for 13 parameters. Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 12:25:15 Page 010 both_sites_2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - CPU Time for numerical optimization was 1.50 seconds. -2logL {S(L+p)G''(.)G'(.)P(t+L+T+H)} = 3743.5176 Penalty {S(L+p)G''(.)G'(.)P(t+L+T+H)} = 0.0000000 Gradient {S(L+p)G''(.)G'(.)P(t+L+T+H)}: 0.0000000 0.0000000 0.0000000 0.0000000 0.80276734E-05 -0.98045967E-05 0.36623728E-04 0.0000000 0.16419731E-04 -0.96104054E-05 0.29902075E-04 0.35469769E-04 0.30230803E-04 Maximum ABS(G) {S(L+p)G''(.)G'(.)P(t+L+T+H)} = 0.3662373E-04 CPU Time to compute VC matrix was 1.00 seconds. S Vector {S(L+p)G''(.)G'(.)P(t+L+T+H)}: 704.7932 114.6992 78.57771 52.17490 32.85137 28.53037 10.50734 6.816872 5.581612 2.838853 1.412279 0.2851298 0.6847177E-02 CPU Time to invert VC matrix was 0.01 seconds. Ratio Threshold = 50.000000 Max Gap (12/13) = 41.641952 Next Max Gap (1/2) = 6.1447094 Gap Method for Num. of Estimated Parameters {S(L+p)G''(.)G'(.)P(t+L+T+H)} = 13 Threshold {S(L+p)G''(.)G'(.)P(t+L+T+H)} = 0.7324746E-04 Numerical Threshold Method for Num. of Estimated Parameters {S(L+p)G''(.)G'(.)P(t+L+T+H)} = 13 Number of Estimated Parameters {S(L+p)G''(.)G'(.)P(t+L+T+H)} = 13 DEVIANCE {S(L+p)G''(.)G'(.)P(t+L+T+H)} = 3743.5176 DEVIANCE Degrees of Freedom {S(L+p)G''(.)G'(.)P(t+L+T+H)} = 198 c-hat {S(L+p)G''(.)G'(.)P(t+L+T+H)} = 18.906655 AIC {S(L+p)G''(.)G'(.)P(t+L+T+H)} = 3769.5176 AICc {S(L+p)G''(.)G'(.)P(t+L+T+H)} = 3770.0414 BIC {S(L+p)G''(.)G'(.)P(t+L+T+H)} = 3828.8477 Pearson Chisquare {S(L+p)G''(.)G'(.)P(t+L+T+H)} = 0.2442101E+15 LOGIT Link Function Parameters of {S(L+p)G''(.)G'(.)P(t+L+T+H)} 95% Confidence Interval Parameter Beta Standard Error Lower Upper ------------------------- -------------- -------------- -------------- -------------- 1: 0.0548585 0.0108138 0.0336634 0.0760536 2: 0.3057509 0.3570852 -0.3941360 1.0056379 3: -2.6001810 0.8526949 -4.2714631 -0.9288989 4: -3.2773686 12.083039 -26.960126 20.405389 5: -2.8015471 0.8070238 -4.3833137 -1.2197804 6: -2.1125786 0.7059934 -3.4963257 -0.7288316 7: -2.3330936 0.7304160 -3.7647089 -0.9014782 8: -2.1324392 0.7348195 -3.5726854 -0.6921929 9: -2.7171837 0.7309501 -4.1498459 -1.2845216 10: -2.1754725 0.7503394 -3.6461377 -0.7048073 11: 0.1027445 0.0223924 0.0588555 0.1466336 12: 0.0400425 0.0202204 0.4105520E-03 0.0796745 13: -0.0345221 0.0059886 -0.0462598 -0.0227844 Real Function Parameters of {S(L+p)G''(.)G'(.)P(t+L+T+H)} Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 12:25:15 Page 011 both_sites_2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Following estimates based on unstandardized individual covariate values: Variable Value --------- ------------- SEX 0.3364929 LEN1 18.911943 LEN2 20.908057 LEN3 22.468626 LEN4 23.702844 LEN5 24.410758 LEN6 24.941659 95% Confidence Interval Parameter Estimate Standard Error Lower Upper -------------------------- -------------- -------------- -------------- -------------- 1:S 0.7383637 0.0395079 0.6539936 0.8081947 2:S 0.7589598 0.0413620 0.6690378 0.8306349 3:S 0.7742725 0.0424653 0.6805652 0.8466832 4:S 0.7858859 0.0431305 0.6895290 0.8584758 5:S 0.7923481 0.0434323 0.6946075 0.8648916 6:S 0.7930210 0.0440444 0.6936613 0.8663624 7:S 0.8104191 0.0409463 0.7171524 0.8781569 8:S 0.8232242 0.0387523 0.7342739 0.8869819 9:S 0.8328628 0.0371498 0.7470568 0.8937025 10:S 0.8381991 0.0362803 0.7540936 0.8974505 11:Gamma'' 0.0691268 0.0548694 0.0137691 0.2831482 12:Gamma'' 0.0691268 0.0548694 0.0137691 0.2831482 13:Gamma' 0.0363558 0.4233178 0.1955987E-11 1.0000000 14:Gamma' 0.0363558 0.4233178 0.1955987E-11 1.0000000 15:p Session 1 0.0643404 0.0218700 0.0326378 0.1229242 16:p Session 1 0.0643404 0.0218700 0.0326378 0.1229242 17:p Session 1 0.0643404 0.0218700 0.0326378 0.1229242 18:p Session 1 0.0643404 0.0218700 0.0326378 0.1229242 19:p Session 1 0.0643404 0.0218700 0.0326378 0.1229242 20:p Session 1 0.0643404 0.0218700 0.0326378 0.1229242 21:p Session 1 0.0643404 0.0218700 0.0326378 0.1229242 22:p Session 2 0.1615111 0.0245859 0.1189032 0.2156502 23:p Session 2 0.2368654 0.0320949 0.1797635 0.3053532 24:p Session 2 0.2050552 0.0323058 0.1488768 0.2755690 25:p Session 2 0.1686468 0.0227132 0.1286701 0.2179372 26:p Session 2 0.1212643 0.0181777 0.0898994 0.1616286 27:p Session 2 0.1577144 0.0224030 0.1185871 0.2067238 28:p Session 2 0.1686468 0.0227132 0.1286701 0.2179372 29:p Session 2 0.2539952 0.0359737 0.1900740 0.3306372 30:p Session 2 0.0858200 0.0155757 0.0598107 0.1216759 31:p Session 2 0.1508671 0.0209815 0.1141707 0.1967388 32:p Session 2 0.1129860 0.0180398 0.0821565 0.1534502 33:p Session 3 0.1754135 0.0212935 0.1374925 0.2211120 34:p Session 3 0.1113912 0.0134285 0.0876628 0.1405529 Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 12:25:15 Page 012 both_sites_2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 35:p Session 3 0.1656494 0.0203253 0.1295414 0.2094008 36:p Session 3 0.1202988 0.0102831 0.1015559 0.1419544 37:p Session 3 0.1633731 0.0149668 0.1361123 0.1948622 38:p Session 3 0.1277992 0.0105955 0.1084311 0.1500447 39:p Session 3 0.1234019 0.0101915 0.1047748 0.1448049 40:p Session 3 0.1222126 0.0112775 0.1017721 0.1460906 41:p Session 3 0.1476102 0.0122883 0.1251114 0.1733532 42:p Session 3 0.1191353 0.0102472 0.1004684 0.1407279 43:p Session 3 0.1291923 0.0133477 0.1052070 0.1576822 44:p Session 3 0.1053888 0.0096249 0.0879584 0.1257969 45:p Session 3 0.1476102 0.0122883 0.1251114 0.1733532 46:p Session 4 0.1788657 0.0183001 0.1457583 0.2175777 47:p Session 4 0.1883866 0.0184643 0.1548283 0.2272626 48:p Session 4 0.1476357 0.0154932 0.1197732 0.1806496 49:p Session 4 0.1527461 0.0153482 0.1250258 0.1853107 50:p Session 4 0.1824454 0.0178796 0.1499733 0.2201276 51:p Session 4 0.1652056 0.0171714 0.1342337 0.2016592 52:p Session 4 0.1652056 0.0171714 0.1342337 0.2016592 53:p Session 4 0.1708023 0.0169404 0.1401084 0.2066048 54:p Session 4 0.2029428 0.0210239 0.1648262 0.2472643 55:p Session 4 0.0949589 0.0144515 0.0701675 0.1273102 56:p Session 5 0.1972418 0.0258993 0.1513283 0.2529339 57:p Session 5 0.1233051 0.0160581 0.0951211 0.1583784 58:p Session 5 0.0873236 0.0131995 0.0646839 0.1168970 59:p Session 5 0.1149057 0.0143628 0.0896121 0.1461922 60:p Session 5 0.0964180 0.0143610 0.0717071 0.1284661 61:p Session 5 0.1542197 0.0191092 0.1203599 0.1954880 62:p Session 5 0.1278554 0.0169563 0.0981369 0.1649277 63:p Session 5 0.0851487 0.0128867 0.0630557 0.1140402 64:p Session 6 0.3273138 0.0488770 0.2394942 0.4291634 65:p Session 6 0.1639708 0.0270373 0.1175802 0.2240180 66:p Session 6 0.1928699 0.0305684 0.1398731 0.2598798 67:p Session 6 0.1928699 0.0305684 0.1398731 0.2598798 68:p Session 6 0.1375123 0.0245454 0.0960644 0.1930245 69:p Session 6 0.1972008 0.0327084 0.1407796 0.2691512 70:p Session 6 0.1770520 0.0289872 0.1271516 0.2411257 71:p Session 6 0.1802923 0.0295566 0.1293906 0.2455703 72:p Session 1 0.0643404 0.0218700 0.0326378 0.1229242 73:p Session 1 0.0643404 0.0218700 0.0326378 0.1229242 74:p Session 1 0.0643404 0.0218700 0.0326378 0.1229242 75:p Session 1 0.0643404 0.0218700 0.0326378 0.1229242 76:p Session 1 0.0643404 0.0218700 0.0326378 0.1229242 77:p Session 1 0.0643404 0.0218700 0.0326378 0.1229242 78:p Session 1 0.0643404 0.0218700 0.0326378 0.1229242 79:p Session 2 0.1615111 0.0245859 0.1189032 0.2156502 Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 12:25:15 Page 013 both_sites_2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 80:p Session 2 0.2368654 0.0320949 0.1797635 0.3053532 81:p Session 2 0.2050552 0.0323058 0.1488768 0.2755690 82:p Session 2 0.1686468 0.0227132 0.1286701 0.2179372 83:p Session 2 0.1212643 0.0181777 0.0898994 0.1616286 84:p Session 2 0.1577144 0.0224030 0.1185871 0.2067238 85:p Session 2 0.1686468 0.0227132 0.1286701 0.2179372 86:p Session 2 0.2539952 0.0359737 0.1900740 0.3306372 87:p Session 2 0.0858200 0.0155757 0.0598107 0.1216759 88:p Session 2 0.1508671 0.0209815 0.1141707 0.1967388 89:p Session 2 0.1129860 0.0180398 0.0821565 0.1534502 90:p Session 3 0.1754135 0.0212935 0.1374925 0.2211120 91:p Session 3 0.1113912 0.0134285 0.0876628 0.1405529 92:p Session 3 0.1656494 0.0203253 0.1295414 0.2094008 93:p Session 3 0.1202988 0.0102831 0.1015559 0.1419544 94:p Session 3 0.1633731 0.0149668 0.1361123 0.1948622 95:p Session 3 0.1277992 0.0105955 0.1084311 0.1500447 96:p Session 3 0.1234019 0.0101915 0.1047748 0.1448049 97:p Session 3 0.1222126 0.0112775 0.1017721 0.1460906 98:p Session 3 0.1476102 0.0122883 0.1251114 0.1733532 99:p Session 3 0.1191353 0.0102472 0.1004684 0.1407279 100:p Session 3 0.1291923 0.0133477 0.1052070 0.1576822 101:p Session 3 0.1053888 0.0096249 0.0879584 0.1257969 102:p Session 3 0.1476102 0.0122883 0.1251114 0.1733532 103:p Session 4 0.1788657 0.0183001 0.1457583 0.2175777 104:p Session 4 0.1883866 0.0184643 0.1548283 0.2272626 105:p Session 4 0.1476357 0.0154932 0.1197732 0.1806496 106:p Session 4 0.1527461 0.0153482 0.1250258 0.1853107 107:p Session 4 0.1824454 0.0178796 0.1499733 0.2201276 108:p Session 4 0.1652056 0.0171714 0.1342337 0.2016592 109:p Session 4 0.1652056 0.0171714 0.1342337 0.2016592 110:p Session 4 0.1708023 0.0169404 0.1401084 0.2066048 111:p Session 4 0.2029428 0.0210239 0.1648262 0.2472643 112:p Session 4 0.0949589 0.0144515 0.0701675 0.1273102 113:p Session 5 0.1972418 0.0258993 0.1513283 0.2529339 114:p Session 5 0.1233051 0.0160581 0.0951211 0.1583784 115:p Session 5 0.0873236 0.0131995 0.0646839 0.1168970 116:p Session 5 0.1149057 0.0143628 0.0896121 0.1461922 117:p Session 5 0.0964180 0.0143610 0.0717071 0.1284661 118:p Session 5 0.1542197 0.0191092 0.1203599 0.1954880 119:p Session 5 0.1278554 0.0169563 0.0981369 0.1649277 120:p Session 5 0.0851487 0.0128867 0.0630557 0.1140402 121:p Session 6 0.3273138 0.0488770 0.2394942 0.4291634 122:p Session 6 0.1639708 0.0270373 0.1175802 0.2240180 123:p Session 6 0.1928699 0.0305684 0.1398731 0.2598798 124:p Session 6 0.1928699 0.0305684 0.1398731 0.2598798 Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 19-May-2022 12:25:15 Page 014 both_sites_2022 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 125:p Session 6 0.1375123 0.0245454 0.0960644 0.1930245 126:p Session 6 0.1972008 0.0327084 0.1407796 0.2691512 127:p Session 6 0.1770520 0.0289872 0.1271516 0.2411257 128:p Session 6 0.1802923 0.0295566 0.1293906 0.2455703 Estimates of Derived Parameters Population Estimates of {S(L+p)G''(.)G'(.)P(t+L+T+H)} 95% Confidence Interval Grp. Sess. N-hat Standard Error Lower Upper ---- ----- -------------- -------------- -------------- -------------- 1 1 0.0000000 0.0000000 0.2225074E-307 0.2225074E-307 1 2 109.00471 14.828907 87.564783 147.74838 1 3 118.67307 8.1666695 106.70646 139.75696 1 4 119.65235 12.227236 101.36055 150.63698 1 5 103.86542 13.053843 84.426499 137.08194 1 6 0.0000000 0.0000000 0.2225074E-307 0.2225074E-307 2 1 38.861849 9.5372471 28.004044 69.355079 2 2 33.119380 4.6923019 27.835155 48.252462 2 3 33.581628 2.1421768 31.211591 40.587780 2 4 30.425104 3.5389258 26.058968 41.023130 2 5 23.385603 3.7211208 18.907547 34.760534 2 6 30.109673 3.1400756 26.684941 40.495357 CPU Time for the last procedure was 2.73 seconds. INPUT --- proc stop; CPU Time in minutes for this job was 0.05 Time Start = 12:25:14.594 Time End = 12:25:15.294 Wall Clock Time in minutes for this job was 0.01 E X E C U T I O N S U C C E S S F U L * * * * * * * * * * * * model 3 : toads, Ein Hemmed population, capture probability linked to survey duration Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 21-Jul-2022 12:22:47 Page 001 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Welcome to MARK omerd on machine DESKTOP-DKAFHSA in subdirectory "C:\Users\omerd\Desktop\סקר דוחיים\mark\toad_analysis\EHall" running file "mrk1800z.tmp". This version was compiled by GCC version 10.3.0 using the options: -cpp -iprefix c:\tdm-gcc-64\gcc64\bin\../lib/gcc/x86_64-w64-mingw32/10.3.0/ -D_MT -U_REENTRANT -D IEEE -D DBLEPRECISION -m64 -mtune=generic -march=x86-64 -mthreads -O2 -std=f2018 -fimplicit-none -fbounds-check -funroll-loops -ftree-vectorize -ffpe-summary=invalid,zero,overflow,underflow -fno-unsafe-math-optimizations -frounding-math -fsignaling-nans -flto -fall-intrinsics -fopenmp. This problem will use 8 of 8 possible threads. INPUT --- proc title EHall; CPU Time for the last procedure was 0.01 seconds. INPUT --- proc chmatrix occasions=9 groups=1 etype=Huggins mixtures=2 INPUT --- Nodes=101 icovar=2 ICMeans NoHist hist=300; INPUT --- glabel(1)=Group 1; INPUT --- time interval 1 1 1 1 1 1 1 1; INPUT --- icovariates sex len; Number of unique encounter histories read was 75. Number of individual covariates read was 2. Time interval lengths are all equal to 1. Data type number is 12 Data type is Huggins' p and c CPU Time for the last procedure was 0.01 seconds. Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 21-Jul-2022 12:22:47 Page 002 EHall - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - INPUT --- proc estimate link=Logit varest=2ndPart ; INPUT --- model={P(duration)}; INPUT --- group=1 p rows=1 cols=9 Square Time=1; INPUT --- group=1 c rows=1 cols=8 Square Time=2; INPUT --- design matrix constraints=9 covariates=2; INPUT --- 1 95; INPUT --- 1 80; INPUT --- 1 85; INPUT --- 1 145; INPUT --- 1 100; INPUT --- 1 80; INPUT --- 1 101; INPUT --- 1 109; INPUT --- 1 61; INPUT --- blabel(1)=; INPUT --- blabel(2)=; INPUT --- rlabel(1)=p; INPUT --- rlabel(2)=p; INPUT --- rlabel(3)=p; INPUT --- rlabel(4)=p; INPUT --- rlabel(5)=p; INPUT --- rlabel(6)=p; INPUT --- rlabel(7)=p; INPUT --- rlabel(8)=p; INPUT --- rlabel(9)=p; INPUT --- dlabel(1)=N; Link Function Used is LOGIT Variance Estimation Procedure Used is 2ndPart M(t+1): 75 -2logL(saturated) = 0.0000000 Effective Sample Size = 675 Number of function evaluations was 16 for 2 parameters. CPU Time for numerical optimization was 0.01 seconds. Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 21-Jul-2022 12:22:47 Page 003 EHall - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -2logL {P(duration)} = 381.67937 Penalty {P(duration)} = 0.0000000 Gradient {P(duration)}: 0.46978769E-05 0.32283705E-05 Maximum ABS(G) {P(duration)} = 0.4697877E-05 CPU Time to compute VC matrix was 0.01 seconds. S Vector {P(duration)}: 11.44326 1.495732 CPU Time to invert VC matrix was 0.01 seconds. Gap Method for Num. of Estimated Parameters {P(duration)} = 2 Threshold {P(duration)} = 0.9395754E-05 Numerical Threshold Method for Num. of Estimated Parameters {P(duration)} = 2 Number of Estimated Parameters {P(duration)} = 2 DEVIANCE {P(duration)} = 381.67937 DEVIANCE Degrees of Freedom {P(duration)} = 73 c-hat {P(duration)} = 5.2284845 AIC {P(duration)} = 385.67937 AICc {P(duration)} = 385.69722 BIC {P(duration)} = 394.70879 Pearson Chisquare {P(duration)} = 10437.032 LOGIT Link Function Parameters of {P(duration)} 95% Confidence Interval Parameter Beta Standard Error Lower Upper ------------------------- -------------- -------------- -------------- -------------- 1: -5.4960361 0.5851732 -6.6429757 -4.3490966 2: 0.0175507 0.0044349 0.0088583 0.0262431 Real Function Parameters of {P(duration)} 95% Confidence Interval Parameter Estimate Standard Error Lower Upper -------------------------- -------------- -------------- -------------- -------------- 1:p 0.0212750 0.0078471 0.0102786 0.0435183 2:p 0.0164316 0.0062607 0.0077580 0.0344657 3:p 0.0179117 0.0067306 0.0085421 0.0371730 4:p 0.0496805 0.0199827 0.0222969 0.1070137 5:p 0.0231810 0.0085120 0.0112314 0.0472372 6:p 0.0164316 0.0062607 0.0077580 0.0344657 7:p 0.0235818 0.0086548 0.0114287 0.0480305 8:p 0.0270404 0.0099316 0.0130878 0.0550380 9:p 0.0118273 0.0048605 0.0052694 0.0263310 Estimates of Derived Parameters Population Estimates of {P(duration)} 95% Confidence Interval Group N-hat Standard Error Lower Upper --------- -------------- -------------- -------------- -------------- 1 395.44569 138.07820 217.71543 794.51183 CPU Time for the last procedure was 0.03 seconds. Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 21-Jul-2022 12:22:47 Page 004 EHall - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - INPUT --- proc stop; CPU Time in minutes for this job was 0.00 Time Start = 12:22:47.676 Time End = 12:22:47.740 Wall Clock Time in minutes for this job was 0.00 E X E C U T I O N S U C C E S S F U L * * * * * * * * * * * * model 4 : toads, Ein Hemmed population, capture probability linked to survey duration and animal's sex Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 21-Jul-2022 12:25:31 Page 001 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Welcome to MARK omerd on machine DESKTOP-DKAFHSA in subdirectory "C:\Users\omerd\Desktop\סקר דוחיים\mark\toad_analysis\EHall" running file "mrk1826z.tmp". This version was compiled by GCC version 10.3.0 using the options: -cpp -iprefix c:\tdm-gcc-64\gcc64\bin\../lib/gcc/x86_64-w64-mingw32/10.3.0/ -D_MT -U_REENTRANT -D IEEE -D DBLEPRECISION -m64 -mtune=generic -march=x86-64 -mthreads -O2 -std=f2018 -fimplicit-none -fbounds-check -funroll-loops -ftree-vectorize -ffpe-summary=invalid,zero,overflow,underflow -fno-unsafe-math-optimizations -frounding-math -fsignaling-nans -flto -fall-intrinsics -fopenmp. This problem will use 8 of 8 possible threads. INPUT --- proc title EHall; CPU Time for the last procedure was 0.01 seconds. INPUT --- proc chmatrix occasions=9 groups=1 etype=Huggins mixtures=1 INPUT --- Nodes=101 icovar=2 ICMeans NoHist hist=300; INPUT --- glabel(1)=Group 1; INPUT --- time interval 1 1 1 1 1 1 1 1; INPUT --- icovariates sex len; Number of unique encounter histories read was 75. Number of individual covariates read was 2. Time interval lengths are all equal to 1. Data type number is 12 Data type is Huggins' p and c CPU Time for the last procedure was 0.01 seconds. Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 21-Jul-2022 12:25:31 Page 002 EHall - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - INPUT --- proc estimate link=Logit varest=2ndPart ; INPUT --- model={P(duration+sex)}; INPUT --- group=1 p rows=1 cols=9 Square Time=1; INPUT --- group=1 c rows=1 cols=8 Square Time=2; INPUT --- design matrix constraints=9 covariates=3; INPUT --- 1 95 sex; INPUT --- 1 80 sex; INPUT --- 1 85 sex; INPUT --- 1 145 sex; INPUT --- 1 100 sex; INPUT --- 1 80 sex; INPUT --- 1 101 sex; INPUT --- 1 109 sex; INPUT --- 1 61 sex; INPUT --- blabel(1)=; INPUT --- blabel(2)=; INPUT --- blabel(3)=; INPUT --- rlabel(1)=p; INPUT --- rlabel(2)=p; INPUT --- rlabel(3)=p; INPUT --- rlabel(4)=p; INPUT --- rlabel(5)=p; INPUT --- rlabel(6)=p; INPUT --- rlabel(7)=p; INPUT --- rlabel(8)=p; INPUT --- rlabel(9)=p; INPUT --- dlabel(1)=N; Link Function Used is LOGIT Variance Estimation Procedure Used is 2ndPart M(t+1): 75 -2logL(saturated) = 0.0000000 Effective Sample Size = 675 Number of function evaluations was 19 for 3 parameters. Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 21-Jul-2022 12:25:31 Page 003 EHall - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - CPU Time for numerical optimization was 0.03 seconds. -2logL {P(duration+sex)} = 381.67856 Penalty {P(duration+sex)} = 0.0000000 Gradient {P(duration+sex)}: 0.11697814E-05 0.43044927E-05 -0.37020185E-05 Maximum ABS(G) {P(duration+sex)} = 0.4304493E-05 CPU Time to compute VC matrix was 0.01 seconds. S Vector {P(duration+sex)}: 16.59509 1.953501 0.4574992 CPU Time to invert VC matrix was 0.01 seconds. Ratio Threshold = 50.000000 Max Gap (1/2) = 8.4950527 Next Max Gap (1/2) = 8.4950527 Gap Method for Num. of Estimated Parameters {P(duration+sex)} = 3 Threshold {P(duration+sex)} = 0.8608985E-05 Numerical Threshold Method for Num. of Estimated Parameters {P(duration+sex)} = 3 Number of Estimated Parameters {P(duration+sex)} = 3 DEVIANCE {P(duration+sex)} = 381.67856 DEVIANCE Degrees of Freedom {P(duration+sex)} = 72 c-hat {P(duration+sex)} = 5.3010911 AIC {P(duration+sex)} = 387.67856 AICc {P(duration+sex)} = 387.71433 BIC {P(duration+sex)} = 401.22270 Pearson Chisquare {P(duration+sex)} = 10379.746 LOGIT Link Function Parameters of {P(duration+sex)} 95% Confidence Interval Parameter Beta Standard Error Lower Upper ------------------------- -------------- -------------- -------------- -------------- 1: -5.5220687 1.0910500 -7.6605268 -3.3836107 2: 0.0175507 0.0044349 0.0088583 0.0262431 3: 0.0304371 1.0742612 -2.0751149 2.1359891 Real Function Parameters of {P(duration+sex)} Following estimates based on unstandardized individual covariate values: Variable Value --------- ------------- SEX 0.8533333 LEN 79.051111 95% Confidence Interval Parameter Estimate Standard Error Lower Upper -------------------------- -------------- -------------- -------------- -------------- 1:p 0.0212737 0.0078471 0.0102775 0.0435177 2:p 0.0164307 0.0062607 0.0077572 0.0344652 3:p 0.0179107 0.0067306 0.0085413 0.0371725 4:p 0.0496778 0.0199826 0.0222948 0.1070119 5:p 0.0231797 0.0085120 0.0112302 0.0472366 6:p 0.0164307 0.0062607 0.0077572 0.0344652 7:p 0.0235804 0.0086549 0.0114275 0.0480298 8:p 0.0270389 0.0099316 0.0130865 0.0550372 9:p 0.0118266 0.0048605 0.0052688 0.0263305 Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 21-Jul-2022 12:25:31 Page 004 EHall - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Estimates of Derived Parameters Population Estimates of {P(duration+sex)} 95% Confidence Interval Group N-hat Standard Error Lower Upper --------- -------------- -------------- -------------- -------------- 1 395.48690 138.12568 217.71094 794.71956 CPU Time for the last procedure was 0.06 seconds. INPUT --- proc stop; CPU Time in minutes for this job was 0.00 Time Start = 12:25:31.658 Time End = 12:25:31.747 Wall Clock Time in minutes for this job was 0.00 E X E C U T I O N S U C C E S S F U L * * * * * * * * * * * * model 4 : toads, Gazelle Valley population,no covariates Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 21-Jul-2022 13:03:41 Page 001 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Welcome to MARK omerd on machine DESKTOP-DKAFHSA in subdirectory "C:\Users\omerd\Desktop\סקר דוחיים\mark\toad_analysis\GVsimp" running file "mrk9523z.tmp". This version was compiled by GCC version 10.3.0 using the options: -cpp -iprefix c:\tdm-gcc-64\gcc64\bin\../lib/gcc/x86_64-w64-mingw32/10.3.0/ -D_MT -U_REENTRANT -D IEEE -D DBLEPRECISION -m64 -mtune=generic -march=x86-64 -mthreads -O2 -std=f2018 -fimplicit-none -fbounds-check -funroll-loops -ftree-vectorize -ffpe-summary=invalid,zero,overflow,underflow -fno-unsafe-math-optimizations -frounding-math -fsignaling-nans -flto -fall-intrinsics -fopenmp. This problem will use 8 of 8 possible threads. INPUT --- proc title GVsimp; CPU Time for the last procedure was 0.01 seconds. INPUT --- proc chmatrix occasions=12 groups=1 etype=Closed mixtures=2 INPUT --- Nodes=101 NoHist hist=300; INPUT --- glabel(1)=Group 1; INPUT --- time interval 1 1 1 1 1 1 1 1 1 1 1; * * WARNING * * At least a pair of the encounter histories are duplicates. Number of unique encounter histories read was 5. Number of individual covariates read was 0. Time interval lengths are all equal to 1. Data type number is 5 Data type is Full Likelihhood p and c CPU Time for the last procedure was 0.01 seconds. Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 21-Jul-2022 13:03:41 Page 002 GVsimp - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - INPUT --- proc estimate link=Sin varest=2ndPart ; INPUT --- model={P(t)}; INPUT --- group=1 p rows=1 cols=12 Square Time=1; INPUT --- group=1 c rows=1 cols=11 Square Time=2; INPUT --- group=1 f0 rows=1 cols=1 Square Constant=13; INPUT --- design matrix constraints=13 covariates=13 identity; INPUT --- blabel(1)=p; INPUT --- blabel(2)=p; INPUT --- blabel(3)=p; INPUT --- blabel(4)=p; INPUT --- blabel(5)=p; INPUT --- blabel(6)=p; INPUT --- blabel(7)=p; INPUT --- blabel(8)=p; INPUT --- blabel(9)=p; INPUT --- blabel(10)=p; INPUT --- blabel(11)=p; INPUT --- blabel(12)=p; INPUT --- blabel(13)=f0; INPUT --- rlabel(1)=p; INPUT --- rlabel(2)=p; INPUT --- rlabel(3)=p; INPUT --- rlabel(4)=p; INPUT --- rlabel(5)=p; INPUT --- rlabel(6)=p; INPUT --- rlabel(7)=p; INPUT --- rlabel(8)=p; INPUT --- rlabel(9)=p; INPUT --- rlabel(10)=p; INPUT --- rlabel(11)=p; INPUT --- rlabel(12)=p; INPUT --- rlabel(13)=f0; INPUT --- dlabel(1)=N; Link Function Used is SIN Variance Estimation Procedure Used is 2ndPart Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 21-Jul-2022 13:03:41 Page 003 GVsimp - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - M(t+1): 18 -2logL(saturated) = -29.251314 Effective Sample Size = 216 Number of function evaluations was 27 for 13 parameters. CPU Time for numerical optimization was 0.16 seconds. -2logL {P(t)} = -13.446171 Penalty {P(t)} = 0.0000000 Gradient {P(t)}: -0.14838582E-05 -0.14838582E-05 0.11597305E-05 0.14838582E-05 0.29677165E-05 -0.66044171E-06 0.17991344E-05 0.25015667E-05 -0.29677164E-05 0.0000000 0.0000000 -0.74192910E-06 0.23287540E-05 Maximum ABS(G) {P(t)} = 0.2967717E-05 CPU Time to compute VC matrix was 0.03 seconds. S Vector {P(t)}: 48.38758 40.09194 40.09194 40.09194 20.04597 20.04597 20.04597 20.04597 20.04597 20.04597 20.04597 20.04597 1.281033 CPU Time to invert VC matrix was 0.01 seconds. Ratio Threshold = 50.000000 Max Gap (12/13) = 15.648290 Next Max Gap (4/5) = 1.9999998 Gap Method for Num. of Estimated Parameters {P(t)} = 13 Threshold {P(t)} = 0.5935433E-05 Numerical Threshold Method for Num. of Estimated Parameters {P(t)} = 13 Number of Estimated Parameters {P(t)} = 13 DEVIANCE {P(t)} = 15.805143 DEVIANCE Degrees of Freedom {P(t)} = -8 c-hat {P(t)} = 1.0000000 AIC {P(t)} = 12.553829 AICc {P(t)} = 14.355809 BIC {P(t)} = 56.432449 Pearson Chisquare {P(t)} = 247.57832 Possible Encounter Histories {P(t)} = 4095 Pearson Chisquare df {P(t)} = 4081 Pearson chat {P(t)} = 0.0606661 Sum(Observed/Expected) {P(t)} = 231.94141 s-bar {P(t)} = -0.9435903 Fletcher chat {P(t)} = 1.0754545 SIN Link Function Parameters of {P(t)} 95% Confidence Interval Parameter Beta Standard Error Lower Upper ------------------------- -------------- -------------- -------------- -------------- 1:p -1.5707964 0.2233503 -2.0085629 -1.1330298 2:p -1.5707964 0.2233503 -2.0085629 -1.1330298 3:p -0.6446482 0.2718441 -1.1774626 -0.1118338 4:p -1.5707963 0.2233503 -2.0085628 -1.1330298 5:p -1.5707963 0.2233503 -2.0085628 -1.1330297 6:p -1.8879894 0.1731082 -2.2272814 -1.5486973 7:p -1.1202959 0.1877604 -1.4883063 -0.7522855 8:p -0.5249233 0.3003424 -1.1135945 0.0637479 9:p -1.5707964 0.2233503 -2.0085629 -1.1330299 10:p -1.5707964 0.2233503 -2.0085629 -1.1330298 11:p -1.5707963 0.2233503 -2.0085629 -1.1330298 12:p -1.5707964 0.2233503 -2.0085629 -1.1330299 13:f0 3.0952128 0.8042323 1.5189175 4.6715081 Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 21-Jul-2022 13:03:41 Page 004 GVsimp - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Real Function Parameters of {P(t)} 95% Confidence Interval Parameter Estimate Standard Error Lower Upper -------------------------- -------------- -------------- -------------- -------------- 1:p 0.3885781E-15 0.4402766E-08 -0.8629421E-08 0.8629422E-08 2:p 0.3885781E-15 0.4402766E-08 -0.8629421E-08 0.8629422E-08 3:p 0.1995414 0.1086440 0.0616675 0.4860088 4:p 0.5551115E-16 0.1664089E-08 -0.3261615E-08 0.3261615E-08 5:p 0.1110223E-14 0.7442033E-08 -0.1458638E-07 0.1458639E-07 6:p 0.0249427 0.0269963 0.0028959 0.1838803 7:p 0.0498853 0.0408770 0.0095915 0.2215821 8:p 0.2494267 0.1299525 0.0785516 0.5643529 9:p 0.1554312E-14 0.8805532E-08 -0.1725884E-07 0.1725884E-07 10:p 0.2775558E-15 0.3721016E-08 -0.7293192E-08 0.7293193E-08 11:p 0.0000000 0.0000000 0.0000000 0.0000000 12:p 0.4996004E-15 0.4992267E-08 -0.9784844E-08 0.9784845E-08 13:f0 22.091940 17.767051 5.5339909 88.192013 Estimates of Derived Parameters Population Estimates of {P(t)} 95% Confidence Interval Grp. Sess. N-hat Standard Error Lower Upper ---- ----- -------------- -------------- -------------- -------------- 1 1 40.091940 17.767051 23.533991 106.19201 CPU Time for the last procedure was 0.20 seconds. Program MARK - Survival Rate Estimation with Capture-Recapture Data gfortran(dble) Vers. 9.0 Jan 2019 21-Jul-2022 13:03:41 Page 005 GVsimp - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - INPUT --- proc stop; CPU Time in minutes for this job was 0.00 Time Start = 13:03:41.121 Time End = 13:03:41.215 Wall Clock Time in minutes for this job was 0.00 E X E C U T I O N S U C C E S S F U L