Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software R package tidyLPA version 2.0.2 CRAN Task View: Psychometrics (https://CRAN.R-project.org/view=Psychometrics) 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. Software 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 Joshua M Rosenberg <jmrosenberg@utk.edu> Comprehensive R Archive Network (CRAN) Joshua M Rosenberg [aut, cre], Caspar van Lissa [aut], Jennifer A Schmidt [ctb], Patrick N Beymer [ctb], Daniel Anderson [ctb], Matthew J. Schell [ctb] MIT + file LICENSE (https://CRAN.R-project.org/package=tidyLPA/LICENSE) 2026-02-25 application/tgz https://CRAN.R-project.org/package=tidyLPA doi:10.32614/CRAN.package.tidyLPA