Package: wnpp Owner: Etienne Mollier <etienne.moll...@mailoo.org> Severity: wishlist X-Debbugs-CC: debian-devel@lists.debian.org, debian-p...@lists.debian.org, debian-...@lists.debian.org
* Package name : libstatistics-pca-perl Version : 0.0.1 Upstream Author : Daniel S. T. Hughes <d...@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: https://salsa.debian.org/perl-team/modules/packages/libstatistics-pca-perl Kind Regards, -- Étienne Mollier <etienne.moll...@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/