Provides an easy-to-use yet adaptable set of tools to conduct person-center analysis using a two-step clustering procedure. As described in Bergman and El-Khouri (1999) <doi:10.1002/(SICI)1521-4036(199910)41:6%3C753::AID-BIMJ753%3E3.0.CO;2-K>, hierarchical clustering is performed to determine the initial partition for the subsequent k-means clustering procedure.
Version: | 0.2.1 |
Depends: | R (≥ 2.10) |
Imports: | dplyr, tidyr, ggplot2, tibble, irr, lpSolve, purrr, class, forcats, magrittr |
Suggests: | rmarkdown, knitr, devtools |
Published: | 2020-02-09 |
DOI: | 10.32614/CRAN.package.prcr |
Author: | Joshua M Rosenberg [aut, cre], Jennifer A Schmidt [aut], Patrick N Beymer [aut], Rebecca R Steingut [ctb] |
Maintainer: | Joshua M Rosenberg <jmichaelrosenberg at gmail.com> |
BugReports: | https://github.com/jrosen48/prcr/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/jrosen48/prcr |
NeedsCompilation: | no |
Materials: | README |
In views: | Cluster |
CRAN checks: | prcr results |
Reference manual: | prcr.pdf |
Vignettes: |
Introduction |
Package source: | prcr_0.2.1.tar.gz |
Windows binaries: | r-devel: prcr_0.2.1.zip, r-release: prcr_0.2.1.zip, r-oldrel: prcr_0.2.1.zip |
macOS binaries: | r-release (arm64): prcr_0.2.1.tgz, r-oldrel (arm64): prcr_0.2.1.tgz, r-release (x86_64): prcr_0.2.1.tgz, r-oldrel (x86_64): prcr_0.2.1.tgz |
Old sources: | prcr archive |
Please use the canonical form https://CRAN.R-project.org/package=prcr to link to this page.