Daniela Witten and Rob Tibshirani and Sam Gross and
Balasubramanian Narasimhan
Performs Penalized Multivariate Analysis: a penalized
matrix decomposition, sparse principal components analysis, and
sparse canonical correlation analysis, described in the
following papers: (1) Witten, Tibshirani and Hastie (2009) A
penalized matrix decomposition, with applications to sparse
principal components and canonical correlation analysis.
Biostatistics 10(3):515-534. (2) Witten and Tibshirani (2009)
Extensions of sparse canonical correlation analysis, with
applications to genomic data. Statistical Applications in
Genetics and Molecular Biology 8(1): Article 28.
Orphaned and corrected on 2018-04-20 as check problems
were not corrected despite multiple notifications.

Including C++ misuse of = for == and non-registration of S3 methods.

Performs Penalized Multivariate Analysis: a penalized
matrix decomposition, sparse principal components analysis, and
sparse canonical correlation analysis, described in the
following paper: Witten, Tibshirani and Hastie (2009) A
penalized matrix decomposition, with applications to sparse
principal components and canonical correlation analysis.

Daniela Witten and Rob Tibshirani and Sam Gross

Performs Penalized Multivariate Analysis: a penalized
matrix decomposition, sparse principal components analysis,
and sparse canonical correlation analysis, described in
Witten, Tibshirani and Hastie (2009)
<doi:10.1093/biostatistics/kxp008> and Witten and Tibshirani
(2009) Extensions of sparse canonical correlation analysis,
with applications to genomic data
<doi:10.2202/1544-6115.1470>.

A modified version of PMA. The CCA() and CCA.permute() functions can also compute the
component-wise standard deviations of estimated U and V through
permutations in addition to standardize them. Furthermore, it computes
the non-parametric p-values for each components.
Performs Penalized Multivariate Analysis: a penalized matrix decomposition, sparse principal
components analysis, and sparse canonical correlation analysis, described in
Ali Mahzarnia, Alexander Badea (2022), "Joint Estimation of Vulnerable Brain Networks and Alzheimer’s Disease Risk Via Novel Extension of Sparse Canonical Correlation" at bioRxiv.