The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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
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_1.1-3.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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=randomLCA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.