BTSPAS - Bayesian Time-Stratified Population Analysis
Provides advanced Bayesian methods to estimate abundance and run-timing from temporally-stratified Petersen mark-recapture experiments. Methods include hierarchical modelling of the capture probabilities and spline smoothing of the daily run size. Theory described in Bonner and Schwarz (2011) <doi:10.1111/j.1541-0420.2011.01599.x>.
Last updated 5 months ago
1 stars 5.89 score 50 dependencies 1 dependentsSightabilityModel - Wildlife Sightability Modeling
Uses logistic regression to model the probability of detection as a function of covariates. This model is then used with observational survey data to estimate population size, while accounting for uncertain detection. See Steinhorst and Samuel (1989).
Last updated 1 years ago
1 stars 4.94 score 28 dependenciesPetersen - Estimators for Two-Sample Capture-Recapture Studies
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.
Last updated 4 months ago
1 stars 4.22 score 74 dependencies