Package: poLCA 1.6.0.2

poLCA: Polytomous Variable Latent Class Analysis

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

Authors:Drew Linzer [aut, cre], Jeffrey Lewis [aut]

poLCA_1.6.0.2.tar.gz
poLCA_1.6.0.2.zip(r-4.7-x86_64)poLCA_1.6.0.2.zip(r-4.7-arm64)poLCA_1.6.0.2.zip(r-4.6-x86_64)poLCA_1.6.0.2.zip(r-4.6-arm64)poLCA_1.6.0.2.zip(r-4.5-x86_64)
poLCA_1.6.0.2.tgz(r-4.6-x86_64)poLCA_1.6.0.2.tgz(r-4.6-arm64)poLCA_1.6.0.2.tgz(r-4.5-x86_64)poLCA_1.6.0.2.tgz(r-4.5-arm64)
poLCA_1.6.0.2.tar.gz(r-4.7-arm64)poLCA_1.6.0.2.tar.gz(r-4.7-x86_64)poLCA_1.6.0.2.tar.gz(r-4.6-arm64)poLCA_1.6.0.2.tar.gz(r-4.6-x86_64)
poLCA_1.6.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
poLCA/json (API)

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

Bug tracker:https://github.com/dlinzer/polca/issues

Datasets:
  • carcinoma - Diagnoses of carcinoma
  • cheating - GPA and chronic cheating
  • election - 2000 National Election Studies survey
  • gss82 - 1982 General Social Survey
  • values - Universalistic vs. particularistic values

On CRAN:

Conda:

10.29 score 62 stars 7 packages 544 scripts 9.1k downloads 72 mentions 8 exports 2 dependencies

Last updated from:2ffbf2fd44. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK91
linux-devel-x86_64OK172
source / vignettesOK134
linux-release-arm64OK130
linux-release-x86_64OK110
macos-release-arm64OK126
macos-release-x86_64OK369
macos-oldrel-arm64OK114
macos-oldrel-x86_64OK305
windows-devel-arm64OK322
windows-devel-x86_64OK115
windows-release-arm64OK331
windows-release-x86_64OK95
windows-oldrel-x86_64OK79
wasm-releaseOK72

Exports:poLCApoLCA.entropypoLCA.posteriorpoLCA.predcellpoLCA.reorderpoLCA.simdatapoLCA.tablermulti

Dependencies:MASSscatterplot3d