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statMatchLCM  

Statistical Matching Using Latent Class Models
View on CRAN: Click here


Download and install statMatchLCM package within the R console
Install from CRAN:
install.packages("statMatchLCM")

Install from Github:
library("remotes")
install_github("cran/statMatchLCM")

Install by package version:
library("remotes")
install_version("statMatchLCM", "1.2")



Attach the package and use:
library("statMatchLCM")
Maintained by
Alicja Wolny-Dominiak
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-15
Latest Update: 2026-05-15
Description:
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.
How to cite:
Alicja Wolny-Dominiak (2026). statMatchLCM: Statistical Matching Using Latent Class Models. R package version 1.2, https://cran.r-project.org/web/packages/statMatchLCM. Accessed 12 Sep. 2026.
Previous versions and publish date:
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Complete documentation for statMatchLCM
Functions, R codes and Examples using the statMatchLCM R package
Full statMatchLCM package functions and examples
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