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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 |
| DOI: | 10.32614/CRAN.package.RCA |
| 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 |
| Reference manual: | RCA.pdf |
| 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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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.