r-cran-factominer 2.4-2 source package in Ubuntu

Changelog

r-cran-factominer (2.4-2) unstable; urgency=medium

  * Team Upload.
  [ Steffen Möller ]
  * Update metadata - added refs to conda, guix

  [ Nilesh Patra ]
  * d/t/control: Add r-cran-markdown to test-depends (fixes debci)
  * Bump Standards-Version to 4.6.0 (no changes needed)
  * d/salsa-ci.yml: Disable reprotest

 -- Nilesh Patra <email address hidden>  Mon, 27 Sep 2021 15:27:43 +0530

Upload details

Uploaded by:
Debian R Packages Maintainers
Uploaded to:
Sid
Original maintainer:
Debian R Packages Maintainers
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Kinetic release universe misc
Jammy release universe misc

Builds

Jammy: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
r-cran-factominer_2.4-2.dsc 2.3 KiB 1d874c27358a4e9d5c5fc0aa49488eb7cd4a6cb7783ff405a721008365eadbb8
r-cran-factominer_2.4.orig.tar.gz 2.7 MiB b9e3adce9a66b4daccc85fa67cb0769d6be230beeb126921b386ccde5db2e851
r-cran-factominer_2.4-2.debian.tar.xz 4.1 KiB 9b2e06a99f869d5207e97c097519294db0c366ed2dddb7599e277290d1097a83

Available diffs

No changes file available.

Binary packages built by this source

r-cran-factominer: Multivariate Exploratory Data Analysis and Data Mining

 Exploratory data analysis methods to summarize, visualize and describe
 datasets. The main principal component methods are available, those with
 the largest potential in terms of applications: principal component
 analysis (PCA) when variables are quantitative, correspondence analysis
 (CA) and multiple correspondence analysis (MCA) when variables are
 categorical, Multiple Factor Analysis when variables are structured in
 groups, etc. and hierarchical cluster analysis.