Package: LCCR 2.0

LCCR: Latent Class Capture-Recapture Models

Estimation of latent class models with individual covariates for capture-recapture data. See Bartolucci, F. and Forcina, A. (2022), Estimating the size of a closed population by modeling latent and observed heterogeneity, Biometrics, 80(2), ujae017.

Authors:Francesco Bartolucci [aut, cre], Antonio Forcina [aut]

LCCR_2.0.tar.gz
LCCR_2.0.zip(r-4.5)LCCR_2.0.zip(r-4.4)LCCR_2.0.zip(r-4.3)
LCCR_2.0.tgz(r-4.4-any)LCCR_2.0.tgz(r-4.3-any)
LCCR_2.0.tar.gz(r-4.5-noble)LCCR_2.0.tar.gz(r-4.4-noble)
LCCR_2.0.tgz(r-4.4-emscripten)LCCR_2.0.tgz(r-4.3-emscripten)
LCCR.pdf |LCCR.html✨
LCCR/json (API)

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

Peer review:

Datasets:

On CRAN:

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

1.00 score 191 downloads 10 exports 1 dependencies

Last updated 3 days agofrom:ff56dc2e6f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 21 2024
R-4.5-winOKNov 21 2024
R-4.5-linuxOKNov 21 2024
R-4.4-winOKNov 21 2024
R-4.4-macOKNov 21 2024
R-4.3-winOKNov 21 2024
R-4.3-macOKNov 21 2024

Exports:aggr_dataconfint.estLCCRdesign_matrix_logitdesign_matrix_loglinestLCCRestLCCRconfreq_datamatrix_logitsimLCCRsq

Dependencies:MASS