Package: randomLCA 1.1-4

Ken Beath

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
randomLCA_1.1-4.tar.gz(r-4.5-noble)randomLCA_1.1-4.tar.gz(r-4.4-noble)
randomLCA_1.1-4.tgz(r-4.4-emscripten)randomLCA_1.1-4.tgz(r-4.3-emscripten)
randomLCA.pdf |randomLCA.html
randomLCA/json (API)
NEWS

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

Peer review:

Datasets:

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

3.10 score 42 scripts 863 downloads 3 mentions 16 exports 17 dependencies

Last updated 2 months agofrom:10de31e3d5. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 23 2024
R-4.5-linux-x86_64OKNov 23 2024

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

Dependencies:bootcodetoolsdigestdoParalleldoRNGfastGHQuadforeachiteratorslatticeMatrixRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfastrngtools

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

Rendered fromrandomLCA-package.pdf.asisusingR.rsp::asison Nov 23 2024.

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