Package: LCAvarsel 1.1

LCAvarsel: Variable Selection for Latent Class Analysis

Variable selection for latent class analysis for model-based clustering of multivariate categorical data. The package implements a general framework for selecting the subset of variables with relevant clustering information and discard those that are redundant and/or not informative. The variable selection method is based on the approach of Fop et al. (2017) <doi:10.1214/17-AOAS1061> and Dean and Raftery (2010) <doi:10.1007/s10463-009-0258-9>. Different algorithms are available to perform the selection: stepwise, swap-stepwise and evolutionary stochastic search. Concomitant covariates used to predict the class membership probabilities can also be included in the latent class analysis model. The selection procedure can be run in parallel on multiple cores machines.

Authors:Michael Fop [aut, cre], Thomas Brendan Murphy [ctb]

LCAvarsel_1.1.tar.gz
LCAvarsel_1.1.zip(r-4.5)LCAvarsel_1.1.zip(r-4.4)LCAvarsel_1.1.zip(r-4.3)
LCAvarsel_1.1.tgz(r-4.4-any)LCAvarsel_1.1.tgz(r-4.3-any)
LCAvarsel_1.1.tar.gz(r-4.5-noble)LCAvarsel_1.1.tar.gz(r-4.4-noble)
LCAvarsel_1.1.tgz(r-4.4-emscripten)LCAvarsel_1.1.tgz(r-4.3-emscripten)
LCAvarsel.pdf |LCAvarsel.html
LCAvarsel/json (API)
NEWS

# Install 'LCAvarsel' in R:
install.packages('LCAvarsel', repos = c('https://michaelfop.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/michaelfop/lcavarsel/issues

On CRAN:

3.60 score 4 stars 5 scripts 213 downloads 2 mentions 9 exports 17 dependencies

Last updated 7 years agofrom:9e2eab4246. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-winNOTENov 05 2024
R-4.5-linuxNOTENov 05 2024
R-4.4-winNOTENov 05 2024
R-4.4-macNOTENov 05 2024
R-4.3-winNOTENov 05 2024
R-4.3-macNOTENov 05 2024

Exports:compareClustercontrolGAcontrolLCAcontrolRegfitLCALCAvarselmaxGprint.fitLCAprint.LCAvarsel

Dependencies:cachemclicodetoolscrayondoParallelfastmapforeachGAiteratorsMASSmemoisennetpoLCARcppRcppArmadillorlangscatterplot3d