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PeakSegDisk: Disk-Based Constrained Change-Point Detection

Disk-based implementation of Functional Pruning Optimal Partitioning with up-down constraints <doi:10.18637/jss.v101.i10> for single-sample peak calling (independently for each sample and genomic problem), can handle huge data sets (10^7 or more).

Version: 2023.11.27
Depends: R (≥ 2.10)
Imports: data.table (≥ 1.9.8)
Suggests: testthat, ggplot2, future.apply, future, knitr, markdown
Published: 2023-11-28
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
Citation: PeakSegDisk citation info
Materials: NEWS
In views: Omics
CRAN checks: PeakSegDisk results

Documentation:

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

Downloads:

Package source: PeakSegDisk_2023.11.27.tar.gz
Windows binaries: r-devel: PeakSegDisk_2023.11.27.zip, r-release: PeakSegDisk_2023.11.27.zip, r-oldrel: PeakSegDisk_2023.11.27.zip
macOS binaries: r-release (arm64): PeakSegDisk_2023.11.27.tgz, r-oldrel (arm64): PeakSegDisk_2023.11.27.tgz, r-release (x86_64): PeakSegDisk_2023.11.27.tgz, r-oldrel (x86_64): PeakSegDisk_2023.11.27.tgz
Old sources: PeakSegDisk archive

Reverse dependencies:

Reverse suggests: atime

Linking:

Please use the canonical form https://CRAN.R-project.org/package=PeakSegDisk to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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