jointseg: Joint Segmentation of Multivariate (Copy Number) Signals

Methods for fast segmentation of multivariate signals into piecewise constant profiles and for generating realistic copy-number profiles. A typical application is the joint segmentation of total DNA copy numbers and allelic ratios obtained from Single Nucleotide Polymorphism (SNP) microarrays in cancer studies. The methods are described in Pierre-Jean, Rigaill and Neuvial (2015) <doi:10.1093/bib/bbu026>.

Version:	1.0.2
Depends:	R (≥ 3.1.0)
Imports:	acnr (≥ 0.3.1), matrixStats (≥ 0.6.0), DNAcopy
Suggests:	PSCBS, R.cache, digest, changepoint (≥ 1.0.2), knitr, rmarkdown, testthat
Published:	2019-01-11
Author:	Morgane Pierre-Jean [aut, cre], Pierre Neuvial [aut], Guillem Rigaill [aut]
Maintainer:	Morgane Pierre-Jean <mpierrejean.pro at gmail.com>
BugReports:	https://github.com/mpierrejean/jointseg/issues
License:	LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2.1)]
URL:	https://github.com/mpierrejean/jointseg
NeedsCompilation:	yes
Citation:	jointseg citation info
Materials:	README NEWS
CRAN checks:	jointseg results

Documentation:

Reference manual:	jointseg.pdf
Vignettes:	PSSeg Generating realistic data

Downloads:

Package source:	jointseg_1.0.2.tar.gz
Windows binaries:	r-devel: jointseg_1.0.2.zip, r-release: jointseg_1.0.2.zip, r-oldrel: jointseg_1.0.2.zip
macOS binaries:	r-release (arm64): jointseg_1.0.2.tgz, r-oldrel (arm64): jointseg_1.0.2.tgz, r-release (x86_64): jointseg_1.0.2.tgz, r-oldrel (x86_64): jointseg_1.0.2.tgz
Old sources:	jointseg archive

Reverse dependencies:

Reverse depends:	SegCorr
Reverse imports:	CNVScope
Reverse suggests:	penaltyLearning

Linking:

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