Published August 7, 2024 | Version v0.1.2
Software Open

scrgof: Monte Carlo Resampling Methods for Spatial Capture-recapture Models Fitted in Maximum Likelihood

  • 1. ROR icon University of St Andrews

Contributors

  • 1. ROR icon University of Otago

Description

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.

Notes

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.

Files

chooyr/scrgof-v0.1.2.zip

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Additional details

Related works

Is new version of
Software: 10.5281/zenodo.11283942 (DOI)
Is supplement to
Software: https://github.com/chooyr/scrgof/tree/v0.1.2 (URL)

Software

References

  • Choo, Y. R., Sutherland, C., & Johnston, A. (2024). A Monte Carlo resampling framework for implementing goodness-of-fit tests in spatial capture-recapture models. Methods in Ecology and Evolution, 00, 1–14. https://doi.org/10.1111/2041-210X.14386