profileR: Profile Analysis of Multivariate Data in R

A suite of multivariate methods and data visualization tools to implement profile analysis and cross-validation techniques described in Davison & Davenport (2002) <doi:10.1037/1082-989X.7.4.468>, Bulut (2013), and other published and unpublished resources. The package includes routines to perform criterion-related profile analysis, profile analysis via multidimensional scaling, moderated profile analysis, generalizability theory, profile analysis by group, and a within-person factor model to derive score profiles.

Version: 0.3-6
Depends: ggplot2, RColorBrewer, reshape, lavaan, R (≥ 3.0.0)
Suggests: testthat (≥ 2.1.0), knitr, rmarkdown
Published: 2026-09-20
DOI: 10.32614/CRAN.package.profileR
Author: Okan Bulut [aut], Christopher David Desjardins [aut, cre]
Maintainer: Christopher David Desjardins <cddesjardins at gmail.com>
License: GPL-3
NeedsCompilation: no
Materials: README, NEWS
In views: Psychometrics
CRAN checks: profileR results

Documentation:

Reference manual: profileR.html , profileR.pdf
Vignettes: checking_profiler (source, R code)
author2019profileR (source)

Downloads:

Package source: profileR_0.3-6.tar.gz
Windows binaries: r-devel: profileR_0.3-5.zip, r-release: profileR_0.3-5.zip, r-oldrel: profileR_0.3-5.zip
macOS binaries: r-release (arm64): profileR_0.3-5.tgz, r-oldrel (arm64): profileR_0.3-6.tgz, r-release (x86_64): profileR_0.3-6.tgz, r-oldrel (x86_64): profileR_0.3-6.tgz
Old sources: profileR archive

Reverse dependencies:

Reverse suggests: npsm

Linking:

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