Published August 7, 2024
| Version v0.1.2
Software
Open
scrgof: Monte Carlo Resampling Methods for Spatial Capture-recapture Models Fitted in Maximum Likelihood
Authors/Creators
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
Files
chooyr/scrgof-v0.1.2.zip
Files
(21.5 kB)
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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
- Repository URL
- https://github.com/chooyr/scrgof
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