tidyLPA: Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software

An interface to the 'mclust' package to easily carry out latent profile analysis ("LPA"). Provides functionality to estimate commonly-specified models. Follows a tidy approach, in that output is in the form of a data frame that can subsequently be computed on. Also has functions to interface to the commercial 'MPlus' software via the 'MplusAutomation' package.

Version: 1.0.0
Depends: R (≥ 2.10)
Imports: dplyr, ggplot2, mclust, methods, mix, MplusAutomation, tibble
Suggests: knitr, missForest, parallel, rmarkdown, testthat, tidyverse
Published: 2019-03-21
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 <jmichaelrosenberg at gmail.com>
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
CRAN checks: tidyLPA results


Reference manual: tidyLPA.pdf
Vignettes: Introduction to tidyLPA
Forthcoming major changes
Package source: tidyLPA_1.0.0.tar.gz
Windows binaries: r-devel: tidyLPA_1.0.0.zip, r-release: tidyLPA_1.0.0.zip, r-oldrel: tidyLPA_1.0.0.zip
OS X binaries: r-release: tidyLPA_0.2.4.tgz, r-oldrel: tidyLPA_0.2.4.tgz
Old sources: tidyLPA archive


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