• CCA

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

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

  • Referenced in 1 article [sw27033]
  • applications to neuroimaging. Canonical correlation analysis (CCA) is a valuable method for interpreting cross-covariance...
  • CCAGFA

  • Referenced in 1 article [sw29967]
  • Variational Bayesian algorithms for learning canonical correlation analysis (CCA), inter-battery factor analysis (IBFA...
  • 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 ... otherwise difficult to compute or grasp intuitively. CCA appears to have quite powerful applications ... employed a method known as sparse canonical correlation analysis (SCCA), while adding estimation which...
  • transCCA

  • Referenced in 1 article [sw38361]
  • 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 ... variables. We propose a version of CCA for transelliptical distributions with an elliptical copula using ... method for testing for non-zero canonical correlations using bootstrap methods. This testing procedure does...
  • Slycat

  • Referenced in 1 article [sw24798]
  • ensemble analysis. Slycat uses canonical correlation analysis (CCA) to model relationships between input and output...
  • Magma

  • Referenced in 3363 articles [sw00540]
  • Computer algebra system (CAS). Magma is a large...
  • R

  • Referenced in 10196 articles [sw00771]
  • R is a language and environment for statistical...
  • SageMath

  • Referenced in 2033 articles [sw00825]
  • Sage (SageMath) is free, open-source math software...
  • pls

  • Referenced in 36 articles [sw04365]
  • R package pls: Partial Least Squares and Principal...
  • PLCP

  • Referenced in 238 articles [sw04795]
  • The software contains some functions and drivers for...
  • SQPlab

  • Referenced in 181 articles [sw05161]
  • The SQPlab (pronounce S-Q-P-lab) software...
  • FastICA

  • Referenced in 210 articles [sw07225]
  • The FastICA package is a free (GPL) MATLAB...
  • TIMP

  • Referenced in 9 articles [sw07964]
  • TIMP: an R package for modeling multi-way...
  • Scikit

  • Referenced in 630 articles [sw08058]
  • Scikit-learn: machine learning in python. Scikit-learn...
  • Daisy

  • Referenced in 37 articles [sw08597]
  • Daisy: Database for the Identification of Systems. We...
  • mixOmics

  • Referenced in 29 articles [sw09508]
  • mixOmics: Omics Data Integration Project. The package provide...
  • SimpleMKL

  • Referenced in 69 articles [sw12290]
  • SimpleMKL. Multiple kernel learning (MKL) aims at simultaneously...