PeakSegDisk: Disk-Based Constrained Change-Point Detection

Disk-based implementation of Functional Pruning Optimal Partitioning with up-down constraints <arXiv:1810.00117> for single-sample peak calling (independently for each sample and genomic problem), can handle huge data sets (10^7 or more).

Version: 2020.8.13
Depends: R (≥ 2.10)
Imports: data.table (≥ 1.9.8)
Suggests: testthat, ggplot2, future.apply, future, knitr, markdown
Published: 2020-08-14
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking at r-project.org>
BugReports: https://github.com/tdhock/PeakSegDisk/issues
License: GPL-3
URL: https://github.com/tdhock/PeakSegDisk
NeedsCompilation: yes
Materials: NEWS
CRAN checks: PeakSegDisk results

Documentation:

Reference manual: PeakSegDisk.pdf
Vignettes: Examples
Spatial correlation
Worst case time complexity

Downloads:

Package source: PeakSegDisk_2020.8.13.tar.gz
Windows binaries: r-devel: PeakSegDisk_2020.8.13.zip, r-devel-UCRT: PeakSegDisk_2020.8.13.zip, r-release: PeakSegDisk_2020.8.13.zip, r-oldrel: PeakSegDisk_2020.8.13.zip
macOS binaries: r-release (arm64): PeakSegDisk_2020.8.13.tgz, r-release (x86_64): PeakSegDisk_2020.8.13.tgz, r-oldrel: PeakSegDisk_2020.8.13.tgz
Old sources: PeakSegDisk archive

Linking:

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