This package performs a Latent Class Analysis of phenotypic measurements in pedigrees and a model selection based on one of two methods: likelihoodbased crossvalidation and Bayesian Information Criterion. It computes also individual and triplet childparents weights in a pedigree using an upwarddownward algorithm. It 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 triplettransition 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.
Package details 


Author  Arafat TAYEB <[email protected]>, Alexandre BUREAU <[email protected]> and Aurelie Labbe <[email protected]> 
Maintainer  Alexandre BUREAU <[email protected]> 
License  GPL 
Version  1.2 
URL  http://www.rproject.org http://www.crulrg.ulaval.ca/pages_perso_chercheurs/bureau_a/ 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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