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.

Version: 1.1-3
Depends: R (≥ 3.2.0), lattice
Imports: boot, fastGHQuad, Matrix, Rfast, parallel, doParallel, doRNG, foreach
Suggests: R.rsp
Published: 2023-06-22
DOI: 10.32614/CRAN.package.randomLCA
Author: Ken Beath [aut, cre]
Maintainer: Ken Beath <ken at kjbeath.com.au>
Contact: Ken Beath <ken@kjbeath.com.au>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: randomLCA citation info
Materials: NEWS
In views: Cluster, Psychometrics
CRAN checks: randomLCA results


Reference manual: randomLCA.pdf
Vignettes: randomLCA: An R Package for Latent Class with Random Effects Analysis


Package source: randomLCA_1.1-3.tar.gz
Windows binaries: r-devel: randomLCA_1.1-3.zip, r-release: randomLCA_1.1-3.zip, r-oldrel: randomLCA_1.1-3.zip
macOS binaries: r-release (arm64): randomLCA_1.1-3.tgz, r-oldrel (arm64): randomLCA_1.1-3.tgz, r-release (x86_64): randomLCA_1.1-3.tgz, r-oldrel (x86_64): randomLCA_1.1-3.tgz
Old sources: randomLCA archive


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