Package: LCMCR 0.4.14

Daniel Manrique-Vallier

LCMCR: Bayesian Non-Parametric Latent-Class Capture-Recapture

Bayesian population size estimation using non parametric latent-class models.

Authors:Daniel Manrique-Vallier

LCMCR_0.4.14.tar.gz
LCMCR_0.4.14.zip(r-4.7-x86_64)LCMCR_0.4.14.zip(r-4.7-arm64)LCMCR_0.4.14.zip(r-4.6-x86_64)LCMCR_0.4.14.zip(r-4.6-arm64)
LCMCR_0.4.14.tar.gz(r-4.7-arm64)LCMCR_0.4.14.tar.gz(r-4.7-x86_64)LCMCR_0.4.14.tar.gz(r-4.6-arm64)LCMCR_0.4.14.tar.gz(r-4.6-x86_64)
LCMCR_0.4.14.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
LCMCR/json (API)

# Install 'LCMCR' in R:
install.packages('LCMCR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • gsl– GNU Scientific Library (GSL)
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

gslcpp

2.26 score 2 packages 7 scripts 288 downloads 3 mentions 3 exports 0 dependencies

Last updated from:4af413137e. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK124
linux-devel-x86_64OK148
source / vignettesOK151
linux-release-arm64OK128
linux-release-x86_64OK138
windows-devel-arm64OK206
windows-devel-x86_64OK112
windows-release-arm64OK211
windows-release-x86_64OK90
wasm-releaseOK87

Exports:lcm_CR_Basic_generatorlcmCRlcmCR_PostSampl

Dependencies: