• # PMA

• Referenced in 114 articles [sw19126]
• sparse principal components analysis, and sparse canonical correlation analysis, described in the following papers ... applications to sparse principal components and canonical correlation analysis. Biostatistics ... Tibshirani (2009) Extensions of sparse canonical correlation analysis, with applications to genomic data. Statistical Applications...
• # CCA

• Referenced in 14 articles [sw09506]
• Package to Extend Canonical Correlation Analysis. Canonical correlations analysis (CCA) is an exploratory statistical method...
• # phytools

• Referenced in 14 articles [sw10003]
• continuous trait evolution; fitting a model of correlated binary trait evolution; locating the position ... reduced major axis regression, a phylogenetic canonical correlation analysis, and a phylogenetic ANOVA; projecting...
• # RKHS

• Referenced in 5 articles [sw03078]
• extension of the multivariate concept of canonical correlation. A solution to the regression problem ... prediction is obtained from this abstract canonical correlation formulation. The classical identities of Lawley ... Fisher’s linear discriminant analysis and canonical correlation analysis for random vectors is extended ... elements. This allows for classification using the canonical $Y$ scores and related distance measures...
• # candisc

• Referenced in 3 articles [sw25169]
• candisc: Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis. Functions for computing and visualizing generalized ... canonical discriminant analyses and canonical correlation analysis for a multivariate linear model. Traditional canonical discriminant ... MANOVA’ design and is equivalent to canonical correlation analysis between a set of quantitative response ... Related plots are now provided for canonical correlation analysis when all predictors are quantitative...
• # CCP

• Referenced in 2 articles [sw26422]
• package CCP: Significance Tests for Canonical Correlation Analysis (CCA). Significance tests for canonical correlation analysis...
• # S+ FDA

• Referenced in 3 articles [sw10814]
• models, generalized linear models, principal components, canonical correlations, principal differential analysis, and clustering.par This book...
• # rmscca

• Referenced in 1 article [sw23317]
• Resistant multiple sparse canonical correlation. Canonical correlation analysis (CCA) is a multivariate technique that takes ... datasets and forms the most highly correlated possible pairs of linear combinations between them. Each ... employed a method known as sparse canonical correlation analysis (SCCA), while adding estimation which ... than standard estimators in the multiple canonical correlation setting. mathsf{R} code is available...
• # Ranktest

• Referenced in 1 article [sw31899]
• stationary) case is the Anderson (1951) canonical correlations test. If we denote one list ... calculate the squared canonical correlations between Y and Z, the LM form of the Anderson ... largest squared canonical correlations. A large test statistic and rejection of the null indicates that ... generalization of the Anderson canonical correlation rank test to the case of a non-Kronecker...
• # transCCA

• Referenced in 1 article [sw38361]
• Canonical correlation analysis for elliptical copulas. Canonical correlation analysis (CCA) is a common method used ... sets of variables by maximizing the Pearson correlation between linear combinations of the two sets ... consistency and asymptotic normality for canonical directions and correlations estimated using Kendall’s tau. Simulations ... method for testing for non-zero canonical correlations using bootstrap methods. This testing procedure does...
• # ccaPP

• Referenced in 1 article [sw31263]
• package ccaPP: (Robust) Canonical Correlation Analysis via Projection Pursuit. Canonical correlation analysis and maximum correlation...
• # Pyrcca

• Referenced in 1 article [sw27033]
• Pyrcca: regularized kernel canonical correlation analysis in Python and its applications to neuroimaging. Canonical correlation...