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:	1.1-2
Depends:	R (≥ 3.2.0), lattice
Imports:	boot, fastGHQuad, Matrix, Rfast, parallel, doParallel, doRNG, foreach
Suggests:	R.rsp
Published:	2022-05-09
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

Documentation:

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

Downloads:

Package source:	randomLCA_1.1-2.tar.gz
Windows binaries:	r-devel: randomLCA_1.1-2.zip, r-release: randomLCA_1.1-2.zip, r-oldrel: randomLCA_1.1-2.zip
macOS binaries:	r-release (arm64): randomLCA_1.1-2.tgz, r-oldrel (arm64): randomLCA_1.1-2.tgz, r-release (x86_64): randomLCA_1.1-2.tgz, r-oldrel (x86_64): randomLCA_1.1-2.tgz
Old sources:	randomLCA archive

Linking:

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