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Latent class analysis and latent class regression models for polytomous outcome variables. Also known as latent structure analysis.
| Version: | 1.6.0.1 |
| Depends: | scatterplot3d, MASS |
| Published: | 2022-04-25 |
| DOI: | 10.32614/CRAN.package.poLCA |
| Author: | Drew Linzer, Jeffrey Lewis. |
| Maintainer: | Drew Linzer <drew at votamatic.org> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/dlinzer/poLCA |
| NeedsCompilation: | yes |
| Citation: | poLCA citation info |
| Materials: | README |
| In views: | Cluster, Psychometrics |
| CRAN checks: | poLCA results |
| Reference manual: | poLCA.pdf |
| Package source: | poLCA_1.6.0.1.tar.gz |
| Windows binaries: | r-devel: poLCA_1.6.0.1.zip, r-release: poLCA_1.6.0.1.zip, r-oldrel: poLCA_1.6.0.1.zip |
| macOS binaries: | r-release (arm64): poLCA_1.6.0.1.tgz, r-oldrel (arm64): poLCA_1.6.0.1.tgz, r-release (x86_64): poLCA_1.6.0.1.tgz, r-oldrel (x86_64): poLCA_1.6.0.1.tgz |
| Old sources: | poLCA archive |
| Reverse depends: | LCAvarsel, lcda, mokken |
| Reverse imports: | ddtlcm, iClusterVB, sBIC |
| Reverse suggests: | broom, diceR, effects, GDINA, telescope, tidySEM |
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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.