Package: LCAextend
Type: Package
Title: Latent Class Analysis (LCA) with Familial Dependence in Extended
        Pedigrees
Version: 1.3
Date: 2018-07-05
Author: Arafat TAYEB <arafat.tayeb@ircm.qc.ca>, Alexandre BUREAU
        <alexandre.bureau@msp.ulaval.ca> and Aurelie Labbe
        <aurelie.labbe@mcgill.ca>
Maintainer: Alexandre BUREAU <alexandre.bureau@msp.ulaval.ca>
Depends: R (>= 2.1.0)
Imports: boot, mvtnorm, rms, kinship2
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.
License: GPL
LazyLoad: yes
URL: https://CRAN.R-project.org/package=LCAextend
NeedsCompilation: no
Packaged: 2026-09-25 11:47:51 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2018-07-07 14:40:21 UTC
RemoteUrl: https://github.com/cran/LCAextend
RemoteRef: HEAD
RemoteSha: d31227453a1361fa1a3715642d6a443262ed002e
Built: R 4.6.0; ; 2026-09-25 11:50:45 UTC; unix
