Estimators for Two-Sample Capture-Recapture Studies
Convert capture history data to n, m and u for use in BTSPAS
LP_fit , LP_IS_fit , LP_SPAS_cit , CL_fit , LP_BTSPAS_fit_Diag , LP_BT...
Logit and anti-logit function.
Create an AIC table comparing multiple LP fits
Extract estimates of abundance after BTSPAS fit
Wrapper (*_fit) to call the Time Stratified Petersen Estimator with Di...
Wrapper (*_fit) to call the Time Stratified Petersen Estimator with NO...
Fit the Chen-Lloyd model to estimate abundance using a non-parametric ...
Estimate abundance after empirical adjustments for various factors.
Estimate abundance after the LP conditional likelihood fit.
Fit a Lincoln-Petersen Model using conditional likelihood
Fit a combined FORWARD and REVERSE simple Lincoln-Petersen Model using...
Estimate abundance after the LP_IS conditional likelihood fit.
Fit a Lincoln-Petersen Model with incomplete stratification
Print the results from a fit a Lincoln-Petersen Model with incomplete ...
Create an table of individual estimates and the model averaged values
Extract estimates of abundance after SPAS fit
Fit a Stratified-Petersen SPAS model.
Compute summary statistics from the capture histories
Test for equal marked fractions in LP experiment
Test for equal recapture probability in LP experiment
Estimate abundance after the LP_TL (tag loss) conditional likelihood f...
Fit a Lincoln-Petersen Model with Tag Loss using conditional likelihoo...
Simulate data from a Lincoln-Petersen Model with Tag Loss
Convert n1, n2, m2 to capture history data for use in estimating. Vect...
Split a vector of capture histories into a matrix with one column for ...
A comprehensive implementation of Petersen-type estimators and its many variants for two-sample capture-recapture studies. A conditional likelihood approach is used that allows for tag loss; non reporting of tags; reward tags; categorical, geographical and temporal stratification; partial stratification; reverse capture-recapture; and continuous variables in modeling the probability of capture. Many examples from fisheries management are presented.
Useful links