poLCA: Polytomous Variable Latent Class Analysis

Latent class analysis and latent class regression models for polytomous outcome variables. Also known as latent structure analysis.

Depends: scatterplot3d, MASS
Published: 2022-04-25
DOI: 10.32614/CRAN.package.poLCA
Author: Drew Linzer, Jeffrey Lewis.
Maintainer: Drew Linzer <drew at votamatic.org>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/dlinzer/poLCA
NeedsCompilation: yes
Citation: poLCA citation info
Materials: README
In views: Cluster, Psychometrics
CRAN checks: poLCA results


Reference manual: poLCA.pdf


Package source: poLCA_1.6.0.1.tar.gz
Windows binaries: r-devel: poLCA_1.6.0.1.zip, r-release: poLCA_1.6.0.1.zip, r-oldrel: poLCA_1.6.0.1.zip
macOS binaries: r-release (arm64): poLCA_1.6.0.1.tgz, r-oldrel (arm64): poLCA_1.6.0.1.tgz, r-release (x86_64): poLCA_1.6.0.1.tgz, r-oldrel (x86_64): poLCA_1.6.0.1.tgz
Old sources: poLCA archive

Reverse dependencies:

Reverse depends: LCAvarsel, lcda, mokken
Reverse imports: ddtlcm, sBIC
Reverse suggests: broom, diceR, effects, GDINA, telescope, tidySEM


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