LCAextend: Latent Class Analysis (LCA) with Familial Dependence in Extended Pedigrees

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.

Getting started

Package details

AuthorArafat TAYEB <>, Alexandre BUREAU <> and Aurelie Labbe <>
MaintainerAlexandre BUREAU <>
Package repositoryView on CRAN
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LCAextend documentation built on May 2, 2019, 2:02 a.m.