r-bioc-pcamethods 1.88.0-1 source package in Ubuntu

Changelog

r-bioc-pcamethods (1.88.0-1) unstable; urgency=medium

  * New upstream version
  * Standards-Version: 4.6.1 (routine-update)

 -- Andreas Tille <email address hidden>  Fri, 13 May 2022 13:43:55 +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_1.88.0-1.dsc 2.2 KiB 19adf2f1697d8341e0e2e8c18f94fe5ea04567dfd348cdf41d8e626d5f34f012
r-bioc-pcamethods_1.88.0.orig.tar.gz 588.0 KiB 2b41f13657f86c404851bc8164f748b755fb42f174b8fb4fa3ff80e30fd50781
r-bioc-pcamethods_1.88.0-1.debian.tar.xz 3.0 KiB 1b8f9a990d47296abdb826254eca334316dc6f6b09d1c7d2952791ac8ec6021c

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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