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Easily carry out latent profile analysis ("LPA"), determine the correct number of classes based on best practices, and tabulate and plot the results. Provides functionality to estimate commonly-specified models with free means, variances, and covariances for each profile. Follows a tidy approach, in that output is in the form of a data frame that can subsequently be computed on. Models can be estimated using the free open source 'R' packages 'Mclust' and 'OpenMx', or using the commercial program 'MPlus', via the 'MplusAutomation' package.
| Version: | 2.0.2 |
| Depends: | R (≥ 2.10), tidySEM (≥ 0.2.10) |
| Imports: | dplyr, ggplot2 (≥ 4.0.1), mclust, methods, MplusAutomation, tibble, rlang |
| Suggests: | knitr, lme4, missForest, parallel, pillar, rmarkdown, testthat, OpenMx, mix |
| Published: | 2026-02-25 |
| DOI: | 10.32614/CRAN.package.tidyLPA |
| Author: | Joshua M Rosenberg [aut, cre], Caspar van Lissa [aut], Jennifer A Schmidt [ctb], Patrick N Beymer [ctb], Daniel Anderson [ctb], Matthew J. Schell [ctb] |
| Maintainer: | Joshua M Rosenberg <jmrosenberg at utk.edu> |
| BugReports: | https://github.com/data-edu/tidyLPA/issues |
| License: | MIT + file LICENSE |
| URL: | https://data-edu.github.io/tidyLPA/ |
| NeedsCompilation: | no |
| Citation: | tidyLPA citation info |
| Materials: | README, NEWS |
| In views: | Psychometrics |
| CRAN checks: | tidyLPA results |
| Reference manual: | tidyLPA.html , tidyLPA.pdf |
| Vignettes: |
Introduction to tidyLPA (source, R code) Benchmarking mclust and MPlus (source, R code) |
| Package source: | tidyLPA_2.0.2.tar.gz |
| Windows binaries: | r-devel: tidyLPA_2.0.2.zip, r-release: tidyLPA_2.0.2.zip, r-oldrel: tidyLPA_2.0.2.zip |
| macOS binaries: | r-release (arm64): tidyLPA_2.0.2.tgz, r-oldrel (arm64): tidyLPA_2.0.2.tgz, r-release (x86_64): tidyLPA_2.0.2.tgz, r-oldrel (x86_64): tidyLPA_2.0.2.tgz |
| Old sources: | tidyLPA archive |
| Reverse imports: | projectLSA |
| Reverse suggests: | 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.
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