• PMA

  • Referenced in 130 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 16 articles [sw09506]
  • Package to Extend Canonical Correlation Analysis. Canonical correlations analysis (CCA) is an exploratory statistical method...
  • JIVE

  • Referenced in 22 articles [sw09511]
  • popular two-block methods such as Canonical Correlation Analysis and Partial Least Squares. A JIVE...
  • homals

  • Referenced in 17 articles [sw13953]
  • order to emulate regression analysis and canonical correlation analysis...
  • phytools

  • Referenced in 14 articles [sw10003]
  • continuous trait evolution; fitting a model of correlated binary trait evolution; locating the position ... Bayesian posterior sample); conducting an analysis called stochastic character mapping, in which character histories ... reduced major axis regression, a phylogenetic canonical correlation analysis, and a phylogenetic ANOVA; projecting...
  • yaImpute

  • Referenced in 7 articles [sw07226]
  • data. These include methods based on canonical correlation analysis, canonical correspondence analysis, and a multivariate...
  • RKHS

  • Referenced in 5 articles [sw03078]
  • variables play a crucial role in multivariate analysis. Two extension of this concept are considered ... extension of the multivariate concept of canonical correlation. A solution to the regression problem ... correlation formulation. The classical identities of Lawley and Rao that lead to canonical factor analysis ... Fisher’s linear discriminant analysis and canonical correlation analysis for random vectors is extended...
  • CCP

  • Referenced in 4 articles [sw26422]
  • package CCP: Significance Tests for Canonical Correlation Analysis (CCA). Significance tests for canonical correlation analysis...
  • candisc

  • Referenced in 3 articles [sw25169]
  • Correlation Analysis. Functions for computing and visualizing generalized canonical discriminant analyses and canonical correlation analysis ... MANOVA’ design and is equivalent to canonical correlation analysis between a set of quantitative response ... factors in a multivariate linear model, computing canonical scores and vectors for each term ... Related plots are now provided for canonical correlation analysis when all predictors are quantitative...
  • SVCCA

  • Referenced in 3 articles [sw35870]
  • SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability. We propose ... technique, Singular Vector Canonical Correlation Analysis (SVCCA), a tool for quickly comparing two representations...
  • integrOmics

  • Referenced in 4 articles [sw28007]
  • levels. However, the development of such an analysis is a major computational and technical challenge ... includes a regularized version of canonical correlation analysis to enlighten correlations between two datasets...
  • ANTsR

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

  • Referenced in 3 articles [sw29475]
  • geophysical fields, such as principal component analysis and related tasks (truncation rules by means ... value decomposition of covariance matrices and canonical correlation analysis for coupled variability of geophysical fields...
  • DASC

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

  • Referenced in 2 articles [sw00496]
  • analysis (principal component, factor, discriminant and canonical correlation analysis) and for survival analysis...
  • 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 ... establish consistency and asymptotic normality for canonical directions and correlations estimated using Kendall ... 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...
  • Biplot

  • Referenced in 1 article [sw26237]
  • discriminant analysis, metric multidimensional scaling, redundancy analysis, canonical correlation analysis or canonical correspondence analysis...
  • CCAGFA

  • Referenced in 1 article [sw29967]
  • Canonical Correlation Analysis and Group Factor Analysis. Variational Bayesian algorithms for learning canonical correlation analysis...
  • Pyrcca

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