nimbleDistance: functions for fitting distance sampling models in nimble
This repository provides some user-defined distributions that can be used to implement distance sampling models in nimble:
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Includes likelihoods for common distance-detection distributions (hazard-rate and half-normal) using both line-transect and point surveys.
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Includes a vignette illustrating use of the package to undertake some simple analyses of distance-detection data collected on lines and points.
The package is at a very early stage of development. Suggestions for improvement and contributions of code are very welcome.
devtools::install_github("scrogster/nimbleDistance", build_vignettes = TRUE, INSTALL_opts = "--no-multiarch")