r-bioc-pcamethods 1.82.0-1 source package in Ubuntu


r-bioc-pcamethods (1.82.0-1) unstable; urgency=medium

  * Team upload.
  * New upstream version
  * debhelper-compat 13 (routine-update)

 -- Dylan Aïssi <email address hidden>  Mon, 02 Nov 2020 15:07:53 +0100

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Uploaded by:
Debian R Packages Maintainers on 2020-11-02
Uploaded to:
Original maintainer:
Debian R Packages Maintainers
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Hirsute release on 2021-03-01 universe misc


File Size SHA-256 Checksum
r-bioc-pcamethods_1.82.0-1.dsc 2.2 KiB 26435ff3f554946c336a33866e0a25c405ec627d1962f3873ecd631a4eea239c
r-bioc-pcamethods_1.82.0.orig.tar.gz 741.5 KiB c0bd8bfe3ee6ed7bdeb7b7cb166d6ff2bfb273c2314430282a181a3fe526ab13
r-bioc-pcamethods_1.82.0-1.debian.tar.xz 2.8 KiB e69b20fe4fcd51505a29df61bd6fabb66985a1687b19782f5f41751a2878806b

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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