RCA: Relational Class Analysis

Relational Class Analysis (RCA) is a method for detecting heterogeneity in attitudinal data (as described in Goldberg A., 2011, Am. J. Soc, 116(5)).

Version:	2.0
Depends:	igraph, gplots
Published:	2016-02-29
Author:	Amir Goldberg, Sarah K. Stein
Maintainer:	Amir Goldberg <amirgo at stanford.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	RCA results

Documentation:

Reference manual:

RCA.pdf

Downloads:

Package source:	RCA_2.0.tar.gz
Windows binaries:	r-devel: RCA_2.0.zip, r-release: RCA_2.0.zip, r-oldrel: RCA_2.0.zip
macOS binaries:	r-release (arm64): RCA_2.0.tgz, r-oldrel (arm64): RCA_2.0.tgz, r-release (x86_64): RCA_2.0.tgz, r-oldrel (x86_64): RCA_2.0.tgz
Old sources:	RCA archive

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