r-bioc-pcamethods 1.86.0-1 source package in Ubuntu

Changelog

r-bioc-pcamethods (1.86.0-1) unstable; urgency=medium

  * Team upload.
  * New upstream version 1.86.0

 -- Nilesh Patra <email address hidden>  Wed, 24 Nov 2021 21:15:30 +0530

Upload details

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
Jammy release universe misc

Downloads

File Size SHA-256 Checksum
r-bioc-pcamethods_1.86.0-1.dsc 2.2 KiB 941c6b384a2af0504ede7fc50256ff3afebe6fc21de16bb2fc0fc45c810df3ff
r-bioc-pcamethods_1.86.0.orig.tar.gz 728.3 KiB 550cb4da476a872fe8e0385135e877f7af2fed0beef4e5da1addde62bd3223e5
r-bioc-pcamethods_1.86.0-1.debian.tar.xz 3.0 KiB ee3e49184507232e7a28f70ca0512eb9e6177cf7cff6c813f1bac8f8e6a9c1a0

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