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README.md
In profileR: Profile Analysis of Multivariate Data in R
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- Added JSS unpublished, and under review, manuscript as a vignette.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 This function is untested and based on unpublished methodology.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.
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profileR documentation built on May 2, 2019, 8:31 a.m.
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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- Added JSS unpublished, and under review, manuscript as a vignette.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 This function is untested and based on unpublished methodology.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.
Try the profileR package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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