r-bioc-pcamethods 1.90.0-1 source package in Ubuntu

Changelog

r-bioc-pcamethods (1.90.0-1) unstable; urgency=medium

  * New upstream version
  * Set upstream metadata fields: Bug-Database, Bug-Submit.

 -- Andreas Tille <email address hidden>  Sun, 20 Nov 2022 17:18:20 +0100

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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

See full publishing history Publishing

Series Pocket Published Component Section
Lunar release universe misc

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File Size SHA-256 Checksum
r-bioc-pcamethods_1.90.0-1.dsc 2.2 KiB ce27b58a058d0bc235f6da8af945eca326de93a25fab6efd6933d25589b1e187
r-bioc-pcamethods_1.90.0.orig.tar.gz 589.2 KiB 440fc4441798c50ecd39416188e82375f2484a9732e51197e9f3bbb5ae9b55b2
r-bioc-pcamethods_1.90.0-1.debian.tar.xz 3.0 KiB e3e8bfb906bfca9897d0b0352f0d27f376326466e9fcafd33cfabc86d0b9e908

Available diffs

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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