Latent class analysis and latent class regression models for polytomous outcome variables. Also known as latent structure analysis.
Version: 1.6.0.1 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 Documentation: Reference manual: poLCA.html , poLCA.pdf Downloads: 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: lcda, mokken Reverse imports: ddtlcm, iClusterVB, sBIC Reverse suggests: broom, diceR, effects, GDINA, telescope, tidySEM Linking:Please use the canonical form https://CRAN.R-project.org/package=poLCA to link to this page.
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