Package: statMatchLCM 1.2

Alicja Wolny-Dominiak

statMatchLCM: Statistical Matching Using Latent Class Models

Tools for statistical matching based on latent class models. The package implements statistical matching procedures based on latent class models. It allows researchers to perform data integration when no unique identifiers are available by modeling the joint distribution of variables through latent categorical structures. The package supports estimation of latent class models, probabilistic matching between donor and recipient data sets, and generation of synthetic linked data under uncertainty. It is particularly useful in survey research and data fusion applications where combining information from multiple sources is required while preserving statistical properties and accounting for measurement error and missing data mechanisms.

Authors:Alicja Wolny-Dominiak [aut, cre], Israa Lewaaelhamd [aut], Mohammed Ali Ismail [aut]

statMatchLCM_1.2.tar.gz
statMatchLCM_1.2.tar.gz(r-4.7-any)statMatchLCM_1.2.tar.gz(r-4.6-any)
statMatchLCM_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
statMatchLCM/json (API)

# Install 'statMatchLCM' in R:
install.packages('statMatchLCM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

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

1.00 score 297 downloads 12 exports 39 dependencies

Last updated from:49cd7de7d6. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK160
source / vignettesOK177
linux-release-x86_64OK153
wasm-releaseOK123

Exports:datAB_to_SMfact_to_numnum_to_factsm_qualitysma_step1sma1_step2sma2_step2sma3_step2smc_step1smc1_step2smc2_step2smc3_step2

Dependencies:clicpp11DBIdplyrfarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclelpSolvemagrittrMatrixminqamitoolsnnetnumDerivpillarpkgconfigproxyR6RColorBrewerRcppRcppArmadillorlangS7scalesStatMatchsurveysurvivaltibbletidyselectutf8vctrsviridisLitewithr