This package is considered a duplicate. The official version of this package is found at:https://francescobartolucci.r-universe.dev/LCCR

Package: LCCR 2.0

Francesco Bartolucci

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.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://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

data_sim1 - Simulated data 1
data_sim2 - Simulated data 2
data_sim3 - Simulated data 3
data_sim4 - Simulated data 4

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 5 days agofrom:ff56dc2e6f. Checks:OK: 2. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Nov 21 2024
R-4.5-linux	OK	Nov 21 2024

Exports:aggr_data confint.estLCCR design_matrix_logit design_matrix_loglin estLCCR estLCCRcon freq_data matrix_logit simLCCR sq

Dependencies:MASS

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Help Manual

Help page	Topics
Latent Class Capture-Recapture Models	LCCR-package LCCR
Aggregate capture-recapture data	aggr_data
Confidence interval	confint.estLCCR
Confidence interval	confint.estLCCRcon
Simulated data 1	data_sim1
Simulated data 2	data_sim2
Simulated data 3	data_sim3
Simulated data 4	data_sim4
Design matrix for recursive logit parametrization	design_matrix_logit
Design matrix for loglinear parametrization	design_matrix_loglin
Estimate latent class models for capture-recapture data with individual covariates	estLCCR
CML estimation of latent class models for capture-recapture data with individual covariates	estLCCRcon
Convert capture-recapture configurations into frequency data	freq_data
Design matrices of saturated logit parametrization	matrix_logit
Plot profile confidence interval	plot.confLCCR plot.confLCCRcon
Print the output	print.confLCCR print.confLCCRcon print.estLCCR print.estLCCRcon
Simulate capture-recapture data from a latent class model with individual covariates	simLCCR
Build matrix of binary vectors of a fixed lenght	sq
Summary of output	summary.confLCCR summary.estLCCR summary.estLCCRcon

Package: LCCR 2.0

LCCR: Latent Class Capture-Recapture Models

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)