r-bioc-pcamethods 1.84.0-1 source package in Ubuntu

Changelog

r-bioc-pcamethods (1.84.0-1) unstable; urgency=medium

  * New upstream version
  * Standards-Version: 4.6.0 (routine-update)
  * dh-update-R to update Build-Depends (3) (routine-update)

 -- Andreas Tille <email address hidden>  Fri, 03 Sep 2021 14:27:36 +0200

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

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File Size SHA-256 Checksum
r-bioc-pcamethods_1.84.0-1.dsc 2.2 KiB ee2021720d8e6a5687278ee6b69265ca7a39c292ffafebfa074e81240e46400f
r-bioc-pcamethods_1.84.0.orig.tar.gz 727.6 KiB 65556f989400c46ba0d85f24150bfee49f9012742e86269848be1d446cd798b1
r-bioc-pcamethods_1.84.0-1.debian.tar.xz 2.8 KiB b4a43f30089deed96f75b2b6f778715d673175c4ef40de703f553173533a13c4

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Binary packages built by this source

r-bioc-pcamethods: BioConductor collection of PCA methods

 Provides Bayesian PCA, Probabilistic PCA, Nipals PCA,
 Inverse Non-Linear PCA and the conventional SVD PCA. A cluster
 based method for missing value estimation is included for
 comparison. BPCA, PPCA and NipalsPCA may be used to perform PCA
 on incomplete data as well as for accurate missing value
 estimation. A set of methods for printing and plotting the
 results is also provided. All PCA methods make use of the same
 data structure (pcaRes) to provide a common interface to the
 PCA results. Initiated at the Max-Planck Institute for
 Molecular Plant Physiology, Golm, Germany.

r-bioc-pcamethods-dbgsym: debug symbols for r-bioc-pcamethods