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Performs canonical correlation for survey data, including multiple tests of significance for secondary canonical correlations. A key feature of this package is that it incorporates survey data structure directly in a novel test of significance via a sequence of simple linear regression models on the canonical variates. See reference - Cruz-Cano, Cohen, and Mead-Morse (2024) "Canonical Correlation Analysis of Survey data: the SurveyCC R package" The R Journal under review.
Version: | 0.2.1 |
Depends: | R (≥ 2.10) |
Imports: | candisc, graphics, stats, survey |
Published: | 2024-07-05 |
DOI: | 10.32614/CRAN.package.SurveyCC |
Author: | Raul Cruz-Cano [aut, cre] |
Maintainer: | Raul Cruz-Cano <raulcruz at iu.edu> |
BugReports: | https://github.com/237triangle/SurveyCC/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/237triangle/SurveyCC |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | SurveyCC results |
Reference manual: | SurveyCC.pdf |
Package source: | SurveyCC_0.2.1.tar.gz |
Windows binaries: | r-devel: SurveyCC_0.2.1.zip, r-release: SurveyCC_0.2.1.zip, r-oldrel: SurveyCC_0.2.1.zip |
macOS binaries: | r-release (arm64): SurveyCC_0.2.1.tgz, r-oldrel (arm64): SurveyCC_0.2.1.tgz, r-release (x86_64): SurveyCC_0.2.1.tgz, r-oldrel (x86_64): SurveyCC_0.2.1.tgz |
Old sources: | SurveyCC archive |
Please use the canonical form https://CRAN.R-project.org/package=SurveyCC to link to this page.
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.