scrgof: Monte Carlo Resampling Methods for Spatial Capture-recapture Models Fitted in Maximum Likelihood
scrgof: Monte Carlo Resampling Methods for Spatial Capture-recapture Models Fitted in Maximum Likelihood
scrgof provides a function to test the goodness-of-fit of spatial capture-recapture models fitted in maximum likelihood using the package secr. scrgof uses a Monte Carlo resampling approach to resample from a fitted model, conditioned on the activity centres of animals present in the population. Expected and observed summary statistics are calculated from the resampled activity centres and capture histories, and are used to calculate fit statistics to test the goodness-of-fit of the SCR model.
Updated functions to be compatible with new Rcpp codes in secr 4.6.10. This also means that secr >= 4.6.10 is now required to use the latest release of scrgof.
- University of Otago New Zealand
- University of St Andrews United Kingdom
goodness-of-fit, spatial capture recapture, maximum likelihood
goodness-of-fit, spatial capture recapture, maximum likelihood
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