Package: randomLCA 1.1-4

randomLCA: Random Effects Latent Class Analysis

Fits standard and random effects latent class models. The single level random effects model is described in Qu et al <doi:10.2307/2533043> and the two level random effects model in Beath and Heller <doi:10.1177/1471082X0800900302>. Examples are given for their use in diagnostic testing.

Authors:Ken Beath [aut, cre]

randomLCA_1.1-4.tar.gz
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randomLCA_1.1-4.tgz(r-4.6-x86_64)randomLCA_1.1-4.tgz(r-4.6-arm64)randomLCA_1.1-4.tgz(r-4.5-x86_64)randomLCA_1.1-4.tgz(r-4.5-arm64)
randomLCA_1.1-4.tar.gz(r-4.6-arm64)randomLCA_1.1-4.tar.gz(r-4.6-x86_64)randomLCA_1.1-4.tar.gz(r-4.5-arm64)randomLCA_1.1-4.tar.gz(r-4.5-x86_64)
randomLCA_1.1-4.tgz(r-4.5-emscripten)
randomLCA.pdf |randomLCA.html
randomLCA/json (API)
NEWS

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.22 score 55 scripts 545 downloads 3 mentions 16 exports 16 dependencies

Last updated from:10de31e3d5. Checks:12 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK133
linux-devel-x86_64OK139
source / vignettesOK162
linux-release-arm64OK167
linux-release-x86_64OK135
macos-devel-arm64OK83
macos-devel-x86_64OK229
macos-release-arm64OK120
macos-release-x86_64OK203
windows-develOK340
windows-releaseOK108
wasm-releaseOK107

Exports:AIC3calcCond2ProbcalcCondProbcalcMargProbclassProbsmaxPostClassoutcomeProbspostClassProbsprint.randomLCArandomLCAranefranef.randomLCArefitrefit.randomLCAsimulate.randomLCAsummary.randomLCA

Dependencies:bootcodetoolsdigestdoParalleldoRNGfastGHQuadforeachiteratorslatticeMatrixRcppRcppArmadilloRcppParallelRfastrngtoolszigg

randomLCA: An R Package for Latent Class with Random Effects Analysis

Rendered fromrandomLCA-package.pdf.asisusingR.rsp::asison Mar 23 2026.

Last update: 2017-03-01
Started: 2017-03-01