Package: openCR 2.2.8

Outline | Model types | Data | Model specification and fitting | Parameterization | Features and limitations | Dipper example | A brief survey of open population capture--recapture models | CJS vs JS | Parameterization of recruitment in JSSA models | Conditional (PLB) vs full likelihood JSSA | Sufficient statistics vs capture histories | Robust design | Spatial vs nonspatial | Home-range shifts between primary sessions | Data structure and input | Stratification | Non-spatial openCR models | Parameters and model types | Non-spatial models using sufficient statistics | Spatial openCR models | Model formulae | Built-in predictors | User-provided covariates | More on modelling | Closed populations | Finite mixtures | Age | Sampling intervals | Custom design data | Transience | Factor coding | Mean of a parameter across levels of a factor | Movement models | Movement kernels | Zero-inflated kernels | User-defined kernel | Sparse kernels | Edge effects | Plotting and summary | Warnings | Settlement models | Derived parameters | Simulating open-population data | Troubleshooting | Nonidentifiability | Failure of numerical maximization | Starting values | Boundary estimates | Alternative algorithms | Step into infeasible parameter space | Number of iterations | Factor coding | Speed | Extras | Sampling variance warning | Example datasets | Testing assumptions | Limitations of openCR | Differences from secr | Relationship to other software | References | Appendix 1. Code for figures.