Package: LCCR 1.3

LCCR: Latent Class Capture-Recapture Models

Estimation of latent class models with individual covariates for capture-recapture data. See Forcina and Bartolucci (2021)<arxiv:2106.03811>.

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

# Install 'LCCR' in R:

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

Datasets:

On CRAN:

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

Last updated 3 years agofrom:04ea344105. Checks:OK: 7. Indexed: yes.

Dependencies:MASS

Help page	Topics
Latent Class Capture-Recapture Models	LCCR-package LCCR
Aggregate capture-recapture data	aggr_data
Confidence interval	confint.estLCCR
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
Print the output	print.confLCCR 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