Type: Package Package: tidyLPA Title: Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software Version: 2.0.2 Authors@R: c(person(given = c("Joshua", "M"), family = "Rosenberg", role = c("aut", "cre"), email = "jmrosenberg@utk.edu"), person(given = "Caspar", family = "van Lissa", role = "aut", email = "c.j.vanlissa@uu.nl"), person(given = c("Jennifer", "A"), family = "Schmidt", role = "ctb", email = "jaschmid@msu.edu"), person(given = c("Patrick", "N"), family = "Beymer", role = "ctb", email = "beymerpa@msu.edu"), person(given = "Daniel", family = "Anderson", role = "ctb", email = "daniela@uoregon.edu"), person(given = c("Matthew", "J."), family = "Schell", role = "ctb", email = "schellma@msu.edu")) Maintainer: Joshua M Rosenberg Description: 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. License: MIT + file LICENSE URL: https://data-edu.github.io/tidyLPA/ BugReports: https://github.com/data-edu/tidyLPA/issues 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 VignetteBuilder: knitr Encoding: UTF-8 LazyData: true RoxygenNote: 7.3.3 Config/pak/sysreqs: cmake libglpk-dev make texlive libicu-dev libxml2-dev libssl-dev Repository: https://data-edu.r-universe.dev Date/Publication: 2026-02-25 14:29:25 UTC RemoteUrl: https://github.com/data-edu/tidylpa RemoteRef: HEAD RemoteSha: 4df6e222ef27534746d47d1ae8baaace35cd0f53 NeedsCompilation: no Packaged: 2026-05-26 06:51:30 UTC; root 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]