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nscancor  

Non-Negative and Sparse CCA
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]
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. Accessed 13 Apr. 2025.
Previous versions and publish date:
0.6.1-25 (2018-02-15 23:59), 0.6 (2014-07-17 23:46)
Other packages that cited nscancor R package
View nscancor citation profile
Other R packages that nscancor depends, imports, suggests or enhances
Complete documentation for nscancor
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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