Description
Profile Analysis of Multivariate Data in R.
Description
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, Bulut (2013), and other published and unpublished resources.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, profile analysis by group, and a within-person factor model to derive score profiles.
README.md
###Package: profileR
###Title: Profile Analysis of Multivariate Data in R
###Type: Package
Development version: v0.3-3 on GitHub 
Description: Fit profile analytic models. This includes the multivariate methods and data visualization tools to implement profile analysis and cross-validation techniques described in Davison & Davenport (2002) and Bulut (2013).
Released versions are installable from CRAN and the developmental version can be installed by:
devtools::install_github(repo = "cddesja/profileR")
Changes since v0.3
- Added JSS unpublished, and under review, manuscript as a vignette.
- Added the spouse data in the package.
Changes since v0.2
- Added wprifm, which performs a within-person random intercept factor model to obtain a score profile.
- EXPERIMENTAL: Added moderated profile analysis. This function is untested and based on unpublished methodology.
- Changed cp to cpa to avoid confusion with cp in Linux and Mac environments.
- Changed pc to pcv.