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 |