[Date Prev][Date Next] [Thread Prev][Thread Next] [Date Index] [Thread Index]

Bug#961677: ITP: libstatistics-pca-perl -- perl module for principal component analysis (PCA)

Package: wnpp
Owner: Etienne Mollier <etienne.mollier@mailoo.org>
Severity: wishlist
X-Debbugs-CC: debian-devel@lists.debian.org, debian-perl@lists.debian.org, debian-med@lists.debian.org

* Package name    : libstatistics-pca-perl
  Version         : 0.0.1
  Upstream Author : Daniel S. T. Hughes <dsth@cantab.net>
* URL             : https://metacpan.org/release/Statistics-PCA
* License         : Artistic or GPL-1+
  Programming Lang: Perl
  Description     : perl module for principal component analysis (PCA)

Statistics::PCA provides functions for principal component analysis (PCA).
PCA transforms higher-dimensional data consisting of a number of possibly
correlated variables into a smaller number of uncorrelated variables termed
principal components (PCs). The higher the ranking of the PCs the greater the
amount of variability that the PC accounts for.

This PCA procedure involves the calculation of the eigenvalue decomposition
from a data covariance matrix after mean centering the data.

See https://en.wikipedia.org/wiki/Principal_component_analysis

The package will be maintained under the umbrella of the Debian Perl Group.

Generated with the help of dpt-gen-itp(1) from pkg-perl-tools.

Statistics::PCA will allow the command prinseq-graphs, from the
package prinseq-lite, to draw PCA graphs, in addition to the
variety of diagrams already available.  It will thus become a
dependency of prinseq-lite.

The source code of of the package is available on Salsa:


Kind Regards,
Étienne Mollier <etienne.mollier@mailoo.org>
Fingerprint:  5ab1 4edf 63bb ccff 8b54  2fa9 59da 56fe fff3 882d
Help find cures against the Covid-19 !  Give CPU cycles:
  * Rosetta@home: https://boinc.bakerlab.org/rosetta/
  * Folding@home: https://foldingathome.org/

Reply to: