tidyLPA: Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source
or Commercial Software
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 |
Documentation:
Downloads:
Reverse dependencies:
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