This package implements two algorithms for canonical correlation analysis (CCA) that are based on iterated regression steps. By choosing the appropriate regression algorithm for each data modality, it is possible to enforce sparsity, non-negativity or other kinds of constraints on the projection vectors. Multiple canonical variables are computed sequentially using a generalized deflation scheme, where the additional correlation not explained by previous variables is maximized. 'nscancor' is used to analyze paired data from two domains, and has the same interface as the 'cancor' function from the 'stats' package (plus some extra parameters). 'mcancor' is appropriate for analyzing data from three or more domains.

Documentation

Manual: nscancor.pdf
Vignette: None available.

Maintainer: Christian Sigg <christian at sigg-iten.ch>

Author(s): Christian Sigg*, R Core team*

Install package and any missing dependencies by running this line in your R console:

install.packages("nscancor")

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Package nscancor
Materials
URL http://sigg-iten.ch/research/
Task Views
Version 0.6
Published 2014-07-17
License GPL (>= 2)
BugReports
SystemRequirements
NeedsCompilation no
Citation
CRAN checks nscancor check results
Package source nscancor_0.6.tar.gz