r-bioc-pcamethods 1.94.0-1 source package in Ubuntu

Changelog

r-bioc-pcamethods (1.94.0-1) unstable; urgency=medium

  * New upstream version
  * Reorder sequence of d/control fields by cme (routine-update)
  * Reduce piuparts noise in transitions (routine-update)

 -- Andreas Tille <email address hidden>  Thu, 30 Nov 2023 08:51:47 +0100

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

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release universe misc
Noble release universe misc

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File Size SHA-256 Checksum
r-bioc-pcamethods_1.94.0-1.dsc 2.1 KiB 7c12c74e02cf08ba7c1c0eb93cedc9688cd4c6fec99d63644b78646a1bee0fe3
r-bioc-pcamethods_1.94.0.orig.tar.gz 598.1 KiB e0babf4e0bae227ca3e4ef74968eb942ebe48bdd5d27297644a9fee6542455ab
r-bioc-pcamethods_1.94.0-1.debian.tar.xz 3.0 KiB 9ec20a70c4e5df069fba1ac8b9e0fba3882ee4363297db10b5ee9842e35b7326

Available diffs

No changes file available.

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