A RetroSearch Logo

Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Search Query:

Showing content from https://cran.r-project.org/web/packages/irr/../prcr/index.html below:

CRAN: Package prcr

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: Downloads: Linking:

Please use the canonical form https://CRAN.R-project.org/package=prcr to link to this page.


RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4