r-bioc-pcamethods 1.80.0-1build1 source package in Ubuntu

Changelog

r-bioc-pcamethods (1.80.0-1build1) groovy; urgency=medium

  * No-change rebuild against r-api-4.0

 -- Graham Inggs <email address hidden>  Sat, 30 May 2020 16:24:24 +0000

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Uploaded by:
Graham Inggs on 2020-05-30
Uploaded to:
Groovy
Original maintainer:
Debian R Packages Maintainers
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Groovy release on 2020-06-26 universe misc

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r-bioc-pcamethods_1.80.0.orig.tar.gz 740.8 KiB d1bed9d51bc660d0e8f33abe862004320ca6b8250075bd56e7d37adf25e19c81
r-bioc-pcamethods_1.80.0-1build1.debian.tar.xz 2.8 KiB 0ceee07e9009bba97eaf96068255aeeb8a0f52abdca36ba0ad057eec6ee0a81b
r-bioc-pcamethods_1.80.0-1build1.dsc 2.2 KiB 3a48bb4d67ea2627f37681d353ca8ec137c153ea3216d99c22cbb2e74bdea49c

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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