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nscancor
View on CRAN: Click
here
Download and install nscancor package within the R console
Install from CRAN:
install.packages("nscancor")
Install from Github:
library("remotes")
install_github("cran/nscancor")
Install by package version:
library("remotes")
install_version("nscancor", "0.7.0-6")
Attach the package and use:
library("nscancor")
Maintained by
Christian Sigg
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-07-17
Latest Update: 2023-03-31
Description:
Two implementations of canonical correlation analysis
(CCA) that are based on iterated regression. By choosing the
appropriate regression algorithm for each data domain, 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 cancor() from the 'stats' package (plus some extra
parameters). mcancor() is appropriate for analyzing data from
three or more domains. See
and Sigg et al. (2007) for more
details.
How to cite:
Christian Sigg (2014). nscancor: Non-Negative and Sparse CCA. R package version 0.7.0-6, https://cran.r-project.org/web/packages/nscancor
Other packages that cited nscancor R package
View nscancor citation profile
Other R packages that nscancor depends,
imports, suggests or enhances
Functions, R codes and Examples using
the nscancor R package
Some associated functions: acor . colCardinalities . macor . mcancor . nscancor .
Some associated R codes: acor.R . cardinality.R . macor.R . mcancor.R . normv.R . nscancor-package.R . nscancor.R . Full nscancor package functions and examples
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