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-4.5)LCMCR_0.4.14.zip(r-4.4)LCMCR_0.4.14.zip(r-4.3)
LCMCR_0.4.14.tgz(r-4.4-x86_64)LCMCR_0.4.14.tgz(r-4.4-arm64)LCMCR_0.4.14.tgz(r-4.3-x86_64)LCMCR_0.4.14.tgz(r-4.3-arm64)
LCMCR_0.4.14.tar.gz(r-4.5-noble)LCMCR_0.4.14.tar.gz(r-4.4-noble)
LCMCR_0.4.14.tgz(r-4.4-emscripten)LCMCR_0.4.14.tgz(r-4.3-emscripten)
LCMCR.pdf |LCMCR.html✨
LCMCR/json (API)

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

Peer review:

Uses libs:
  • gsl– GNU Scientific Library (GSL)
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

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

1.65 score 15 scripts 305 downloads 3 mentions 3 exports 0 dependencies

Last updated 11 months agofrom:4af413137e. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-win-x86_64OKNov 01 2024
R-4.5-linux-x86_64OKNov 01 2024
R-4.4-win-x86_64OKNov 01 2024
R-4.4-mac-x86_64OKNov 01 2024
R-4.4-mac-aarch64OKNov 01 2024
R-4.3-win-x86_64OKNov 01 2024
R-4.3-mac-x86_64OKNov 01 2024
R-4.3-mac-aarch64OKNov 01 2024

Exports:lcm_CR_Basic_generatorlcmCRlcmCR_PostSampl

Dependencies: