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)LCMCR_0.4.14.zip(r-4.6)LCMCR_0.4.14.zip(r-4.5)
LCMCR_0.4.14.tgz(r-4.6-x86_64)LCMCR_0.4.14.tgz(r-4.6-arm64)LCMCR_0.4.14.tgz(r-4.5-x86_64)LCMCR_0.4.14.tgz(r-4.5-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://dmanriqu.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

2.13 score 1 packages 15 scripts 277 downloads 3 mentions 3 exports 0 dependencies

Last updated from:4af413137e. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK129
linux-devel-x86_64OK166
source / vignettesOK199
linux-release-arm64OK115
linux-release-x86_64OK116
macos-release-arm64OK200
macos-release-x86_64OK222
macos-oldrel-arm64OK174
macos-oldrel-x86_64OK379
windows-develOK531
windows-releaseOK98
windows-oldrelOK84
wasm-releaseOK299

Exports:lcm_CR_Basic_generatorlcmCRlcmCR_PostSampl

Dependencies: