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LCAextend  

Latent Class Analysis (LCA) with Familial Dependence in Extended Pedigrees
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("LCAextend", "1.3")



Attach the package and use:
library("LCAextend")
Maintained by
Alexandre BUREAU
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-02-04
Latest Update: 2018-07-07
Description:
Latent Class Analysis of phenotypic measurements in pedigrees and model selection based on one of two methods: likelihood-based cross-validation and Bayesian Information Criterion. Computation of individual and triplet child-parents weights in a pedigree is performed using an upward-downward algorithm. The model takes into account the familial dependence defined by the pedigree structure by considering that a class of a child depends on his parents classes via triplet-transition probabilities of the classes. The package handles the case where measurements are available on all subjects and the case where measurements are available only on symptomatic (i.e. affected) subjects. Distributions for discrete (or ordinal) and continuous data are currently implemented. The package can deal with missing data.
How to cite:
Alexandre BUREAU (2011). LCAextend: Latent Class Analysis (LCA) with Familial Dependence in Extended Pedigrees. R package version 1.3, https://cran.r-project.org/web/packages/LCAextend. Accessed 15 Sep. 2026.
Previous versions and publish date:
1.0 (2011-02-04 07:44), 1.1 (2011-11-29 08:30), 1.2 (2012-03-18 17:07), (2026-07-09 08:07)
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Complete documentation for LCAextend
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