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prcr: Person-Centered Analysis

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

Documentation:

Reference manual: prcr.pdf
Vignettes: Introduction

Downloads:

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

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.