SurveyCC: Canonical Correlation for Survey Data

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 references - Cruz-Cano and Mead-Morse (2023) "Canonical Correlation Analysis for Complex Survey data" The Stata Journal under review. Gentzke AS, Wang TW, Cornelius M, Park-Lee E, Ren C, Sawdey MD, Cullen KA, Loretan C, Jamal A, Homa DM (2021) "Tobacco Product Use and Associated Factors among Middle and High School Students - National Youth Tobacco Survey, United States" <doi:10.15585/mmwr.ss7105a1>. Gittins R (1986 ISBN:3642698786, 9783642698781). Caliński T., Krzyśko M. and WOłyński W. (2006) "A Comparison of Some Tests for Determining the Number of Nonzero Canonical Correlations" <doi:10.1080/03610910600716290>. Hyland A, Ambrose BK, Conway KP, et al. (2017) "Design and methods of the Population Assessment of Tobacco and Health" <doi:10.1136/tobaccocontrol-2016-052934>. Johnstone IM. (2009) "Approximate Null Distribution of the largest root in a Multivariate Analysis" <doi:10.1214/08-AOAS220>. Valliant R. and Dever JA. (2018 ISBN:978-1-59718-260-7).

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: candisc, graphics, stats, survey
Published: 2023-09-08
Author: Raul Cruz-Cano ORCID iD [aut, cre]
Maintainer: Raul Cruz-Cano <raulcruz at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: NEWS
CRAN checks: SurveyCC results


Reference manual: SurveyCC.pdf


Package source: SurveyCC_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SurveyCC_0.1.0.tgz, r-oldrel (arm64): SurveyCC_0.1.0.tgz, r-release (x86_64): SurveyCC_0.1.0.tgz, r-oldrel (x86_64): SurveyCC_0.1.0.tgz


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