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LCAextend
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]
[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 26 Aug. 2026.
Previous versions and publish date:
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Other R packages that LCAextend depends,
imports, suggests or enhances
Complete documentation for LCAextend
Functions, R codes and Examples using
the LCAextend R package
Some associated functions: alpha.compute . attrib.dens . dens.norm . dens.prod.ordi . downward.connect . downward . e.step . init.norm . init.ordi . init.p.trans . lca.model . model.select . n.param . optim.const.ordi . optim.diff.norm . optim.equal.norm . optim.gene.norm . optim.indep.norm . optim.noconst.ordi . optim.probs . p.compute . p.post.child . p.post.found . param.cont . param.ordi . ped.cont . ped.ordi . peel . probs . upward.connect . upward . weight.famdep . weight.nuc .
Some associated R codes: alpha.compute.R . attrib.dens.R . dens.norm.R . dens.prod.ordi.R . downward.R . downward.connect.R . e.step.R . init.norm.R . init.ordi.R . init.p.trans.R . lca.model.R . model.select.R . n.param.R . optim.const.ordi.R . optim.diff.norm.R . optim.equal.norm.R . optim.gene.norm.R . optim.indep.norm.R . optim.noconst.ordi.R . optim.probs.R . p.compute.R . p.post.child.R . p.post.found.R . upward.R . upward.connect.R . weight.famdep.R . weight.nuc.R . Full LCAextend package functions and examples
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