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LCCR (version 2.0.1)

Latent Class Capture-Recapture Models

Description

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.

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Version

Install

install.packages('LCCR')

Monthly Downloads

192

Version

2.0.1

License

GPL (>= 2)

Maintainer

Francesco Bartolucci

Last Published

March 22nd, 2025

Functions in LCCR (2.0.1)

estLCCR

Estimate latent class models for capture-recapture data with individual covariates
plot

Plot profile confidence interval
simLCCR

Simulate capture-recapture data from a latent class model with individual covariates
matrix_logit

Design matrices of saturated logit parametrization
estLCCRcon

CML estimation of latent class models for capture-recapture data with individual covariates
data_sim4

Simulated data 4
LCCR-package

tools:::Rd_package_title("LCCR")
design_matrix_loglin

Design matrix for loglinear parametrization
aggr_data

Aggregate capture-recapture data
design_matrix_logit

Design matrix for recursive logit parametrization
confint.estLCCR

Confidence interval
confint.estLCCRcon

Confidence interval
freq_data

Convert capture-recapture configurations into frequency data
data_sim1

Simulated data 1
data_sim2

Simulated data 2
data_sim3

Simulated data 3
summary

Summary of output
print

Print the output
sq

Build matrix of binary vectors of a fixed lenght