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mark009.out
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Program MARK - Survival Rate Estimation with Capture-Recapture Data
gfortran(dble) Vers. 9.0 Mar 2018 27-Apr-2018 15:41:57 Page 001
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This version was compiled by GCC version 7.2.1 20170829 (Red Hat 7.2.1-1) using the options:
-cpp -D_REENTRANT -D IEEE -D DBLEPRECISION -m64 -mtune=generic -march=x86-64
-O2 -fimplicit-none -fbounds-check -funroll-loops -ftree-vectorize
-ffpe-summary=invalid,zero,overflow,underflow -fno-unsafe-math-optimizations
-frounding-math -fsignaling-nans -fopenmp.
This problem will use 3 of 4 possible threads.
INPUT --- proc title ;
CPU Time in seconds for last procedure was 0.00
INPUT --- proc chmatrix occasions= 2 groups= 1 etype= Brownie ICMeans
INPUT --- NoHist hist= 5 ;
INPUT --- time interval 1 1 ;
INPUT --- glabel(1)=Group 1;
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 10
Data type is Dead Recoveries (Brownie et al.)
CPU Time in seconds for last procedure was 0.00
Program MARK - Survival Rate Estimation with Capture-Recapture Data
gfortran(dble) Vers. 9.0 Mar 2018 27-Apr-2018 15:41:57 Page 002
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INPUT --- proc estimate link=Logit NOLOOP varest=2ndPart ;
INPUT --- model={ S(~1)f(~1) };
INPUT --- group=1 S rows=1 cols=1 Triang ;
INPUT --- 1 ;
INPUT --- group=1 f rows=2 cols=2 Triang ;
INPUT --- 2 2 ;
INPUT --- 2 ;
INPUT --- design matrix constraints=2 covariates=2 identity;
INPUT --- blabel(1)=S:(Intercept);
INPUT --- blabel(2)=f:(Intercept);
INPUT --- rlabel(1)=S g1 c1 a0 t1;
INPUT --- rlabel(2)=f g1 c1 a0 t1;
Link Function Used is LOGIT
Variance Estimation Procedure Used is 2ndPart
-2logL(saturated) = 19490.354
Effective Sample Size = 15459
Number of function evaluations was 11 for 2 parameters.
Time for numerical optimization was 0.01 seconds.
-2logL { S(~1)f(~1) } = 19524.043
Penalty { S(~1)f(~1) } = -0.0000000
Gradient { S(~1)f(~1) }:
0.000000 0.2016565E-03
Maximum ABS(G) { S(~1)f(~1) } = 0.2016565E-03
S Vector { S(~1)f(~1) }:
3173.734 220.7532
Time to compute number of parameters was 0.01 seconds.
Gap Method for Num. of Estimated Parameters { S(~1)f(~1) } = 2
Threshold { S(~1)f(~1) } = 0.4033130E-003
Numerical Threshold Method for Num. of Estimated Parameters { S(~1)f(~1) } = 2
Number of Estimated Parameters { S(~1)f(~1) } = 2
DEVIANCE { S(~1)f(~1) } = 33.689771
DEVIANCE Degrees of Freedom { S(~1)f(~1) } = 1
c-hat { S(~1)f(~1) } = 33.689771
AIC { S(~1)f(~1) } = 19528.043
AICc { S(~1)f(~1) } = 19528.044
BIC { S(~1)f(~1) } = 19543.335
Pearson Chisquare { S(~1)f(~1) } = 33.925127
Possible Encounter Histories { S(~1)f(~1) } = 5
Pearson Chisquare df { S(~1)f(~1) } = 1
Pearson chat { S(~1)f(~1) } = 33.925127
Sum(Observed/Expected) { S(~1)f(~1) } = 5.0442310
Fletcher chat { S(~1)f(~1) } = 33.627650
LOGIT Link Function Parameters of { S(~1)f(~1) }
95% Confidence Interval
Parameter Beta Standard Error Lower Upper
------------------------- -------------- -------------- -------------- --------------
1:S:(Intercept) -0.6214157 0.0665737 -0.7519002 -0.4909312
2:f:(Intercept) -1.4213513 0.0203217 -1.4611817 -1.3815208
Program MARK - Survival Rate Estimation with Capture-Recapture Data
gfortran(dble) Vers. 9.0 Mar 2018 27-Apr-2018 15:41:57 Page 003
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Real Function Parameters of { S(~1)f(~1) }
95% Confidence Interval
Parameter Estimate Standard Error Lower Upper
-------------------------- -------------- -------------- -------------- --------------
1:S g1 c1 a0 t1 0.3494595 0.0151347 0.3204074 0.3796742
2:f g1 c1 a0 t1 0.1944498 0.0031832 0.1882867 0.2007649
CPU Time in seconds for last procedure was 0.00
INPUT --- proc stop;
CPU Time in minutes for this job was 0.00
Time Start = 15:41:57.691 Time End = 15:41:57.693
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