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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