A suite of multivariate methods and data visualization tools to implement profile analysis and cross-validation techniques described in Davison & Davenport (2002)
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", build_vignettes = TRUE)
build_vignettes = TRUE argument can be omitted if you do not want to build the vignette (or the build is causing problems). To view the vignette for the
Changes in version: profileR_0.3-4
Added the interest data set.
Changes in version: profileR_0.3-3
the pbg function can now analyze profiles cross two or more groups. Also, the terminology in the function has been revised.
Now, the pams and pbg functions define the data as "data" rather than x in the functions.
A few minor typos haven corrected in the help files.
Changes in version: profileR_0.3-1
Added the "spouse" data as a part of the package. Now the pbg function can be directly examined using the spouse data.
Added unpublished Journal of Statistical Software manuscript as a vignette.
Changes in version: profileR_0.3
Changed cp to cpa and pc to pcv.
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 This function is untested and best on unpublished methodology.
Changes in version: profileR_0.2-1
Standardize option was added to profileplot. This allows users to center all scores before plotting them using the profileplot function.
Fixed the legend issue on profileplot function when by.pattern is set to FALSE.
Fixed cp and pc functions. They weren't working with missing data because of default na.action. This is fine now.
Fixed typos in manpages.
Fixed plot for critpat class.
Changes in version: profileR_0.2
Added pams(). This function adds profile analysis via multidimensional scaling.
Add pbg(). This function tests parallel, level, and coincidential profiles across two groups.
Add additional generic functions to classes critpat, prof, and profg.
Renamed functions to reduce conflict with base functions and to introduce a coding convention.
Changes in version: profileR_0.1