Package: LCCR 2.0.1
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:
LCCR_2.0.1.tar.gz
LCCR_2.0.1.zip(r-4.7)LCCR_2.0.1.zip(r-4.6)LCCR_2.0.1.zip(r-4.5)
LCCR_2.0.1.tgz(r-4.6-any)LCCR_2.0.1.tgz(r-4.5-any)
LCCR_2.0.1.tar.gz(r-4.7-any)LCCR_2.0.1.tar.gz(r-4.6-any)
LCCR_2.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
LCCR/json (API)
| # Install 'LCCR' in R: |
| install.packages('LCCR', repos = c('https://francescobartolucci.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:75bbbb972e. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 112 | ||
| source / vignettes | OK | 162 | ||
| linux-release-x86_64 | OK | 148 | ||
| macos-release-arm64 | OK | 169 | ||
| macos-oldrel-arm64 | OK | 148 | ||
| windows-devel | OK | 79 | ||
| windows-release | OK | 65 | ||
| windows-oldrel | OK | 60 | ||
| wasm-release | OK | 91 |
Exports:aggr_dataconfint.estLCCRdesign_matrix_logitdesign_matrix_loglinestLCCRestLCCRconfreq_datamatrix_logitsimLCCRsq
Dependencies:MASS
