Package: distanceMCMC 0.0.9003

distanceMCMC: Functions to Fit Distance Sampling Models Via MCMC Using Nimble

Functions for Bayesian distance sampling models for use within nimble.

Authors:Devin Johnson [aut, cre]

distanceMCMC_0.0.9003.tar.gz
distanceMCMC_0.0.9003.zip(r-4.7)distanceMCMC_0.0.9003.zip(r-4.6)distanceMCMC_0.0.9003.zip(r-4.5)
distanceMCMC_0.0.9003.tgz(r-4.6-any)distanceMCMC_0.0.9003.tgz(r-4.5-any)
distanceMCMC_0.0.9003.tar.gz(r-4.7-any)distanceMCMC_0.0.9003.tar.gz(r-4.6-any)
distanceMCMC_0.0.9003.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
distanceMCMC/json (API)

# Install 'distanceMCMC' in R:
install.packages('distanceMCMC', repos = c('https://dsjohnson.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/dsjohnson/distancemcmc/issues

On CRAN:

Conda:

2.30 score 7 exports 16 dependencies

Last updated from:58a855323b. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK137
source / vignettesOK171
linux-release-x86_64OK149
macos-release-arm64OK107
macos-oldrel-arm64OK105
windows-develOK109
windows-releaseOK91
windows-oldrelOK83
wasm-releaseOK99

Exports:ddist_hnddist_hresw_dist_hnesw_dist_hrhr_integrandrdist_hnrdist_hr

Dependencies:clicodacpp11glueigraphlatticelifecyclemagrittrMatrixnimblenumDerivpkgconfigpracmaR6rlangvctrs

Readme and manuals

Help Manual

Help pageTopics
Distance sampling distributions that can be used in 'nimble' modelsddist ddist_hn ddist_hr esw_dist_hn esw_dist_hr hr_integrand rdist rdist_hn rdist_hr