
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...

homals
 Referenced in 14 articles
[sw13953]
 order to emulate regression analysis and canonical correlation analysis...

JIVE
 Referenced in 12 articles
[sw09511]
 popular twoblock methods such as Canonical Correlation Analysis and Partial Least Squares. A JIVE...

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...

yaImpute
 Referenced in 6 articles
[sw07226]
 data. These include methods based on canonical correlation analysis, canonical correspondence analysis, and a multivariate...

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...

ANTsR
 Referenced in 4 articles
[sw25746]
 specific variations of principal component and canonical correlation analysis...

integrOmics
 Referenced in 4 articles
[sw28007]
 includes a regularized version of canonical correlation analysis to enlighten correlations between two datasets...

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

PyClimate
 Referenced in 3 articles
[sw29475]
 value decomposition of covariance matrices and canonical correlation analysis for coupled variability of geophysical fields...

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 nonKronecker...

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 nonzero canonical correlations using bootstrap methods. This testing procedure does...

KyPlot
 Referenced in 2 articles
[sw00496]
 analysis (principal component, factor, discriminant and canonical correlation analysis) and for survival analysis...

DASC
 Referenced in 2 articles
[sw19158]
 variance, factor analysis models, and canonical correlation analysis, to mention the most important ones. Particular...

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...