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: | 1.0-16 |
| Depends: | R (≥ 3.2.0), lattice |
| Imports: | boot, fastGHQuad, Matrix, Rfast, parallel |
| Suggests: | R.rsp |
| Published: | 2020-06-16 |
| Author: | Ken Beath [aut, cre] |
| Maintainer: | Ken Beath <ken.beath at mq.edu.au> |
| Contact: | Ken Beath <ken.beath@mq.edu.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_1.0-16.tar.gz |
| Windows binaries: | r-devel: randomLCA_1.0-16.zip, r-release: randomLCA_1.0-16.zip, r-oldrel: randomLCA_1.0-16.zip |
| macOS binaries: | r-release: randomLCA_1.0-16.tgz, r-oldrel: randomLCA_1.0-16.tgz |
| Old sources: | randomLCA archive |
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