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 |
| 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: prcr_0.2.1.tgz, r-oldrel: prcr_0.2.1.tgz |
| Old sources: | prcr archive |
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