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:

Reference manual:	tidyLPA.html , tidyLPA.pdf
Vignettes:	Introduction to tidyLPA (source, R code) Benchmarking mclust and MPlus (source, R code)

Downloads:

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 dependencies:

Reverse imports:	projectLSA
Reverse suggests:	tidySEM

Linking:

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