The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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.

Version: 2.0
Depends: R (≥ 3.5.0)
Imports: MASS
Suggests: testthat (≥ 3.0.0)
Published: 2024-11-20
DOI: 10.32614/CRAN.package.LCCR
Author: Francesco Bartolucci [aut, cre], Antonio Forcina [aut]
Maintainer: Francesco Bartolucci <francesco.bartolucci at unipg.it>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: LCCR results

Documentation:

Reference manual: LCCR.pdf

Downloads:

Package source: LCCR_2.0.tar.gz
Windows binaries: r-devel: LCCR_2.0.zip, r-release: LCCR_2.0.zip, r-oldrel: LCCR_2.0.zip
macOS binaries: r-release (arm64): LCCR_2.0.tgz, r-oldrel (arm64): LCCR_2.0.tgz, r-release (x86_64): LCCR_2.0.tgz, r-oldrel (x86_64): LCCR_2.0.tgz
Old sources: LCCR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=LCCR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.