MSigSeg: Multiple SIGnal SEGmentation

Traditional methods typically detect breakpoints from individual signals, which means that when applied separately to multiple signals, the breakpoints are not aligned. However, this package implements a common breakpoint detection approach for multiple piecewise constant signals, resulting in increased detection sensitivity and specificity. By employing various techniques, optimal performance is ensured, and computation is accelerated. We hope that this package will be beneficial for researchers in signal processing, bioinformatics, economy, and other related fields. The segmentation(), lambda_estimator() functions are the main functions of this package.

Version: 0.2.0
Depends: R (≥ 4.0.0), methods
Imports: MASS, ggpubr, ggplot2
Published: 2023-11-13
Author: Xuanyu Liu [aut, cre], Junbo Duan [aut]
Maintainer: Xuanyu Liu <lxy382198251 at stu.xjtu.edu.cn>
License: GPL-3
NeedsCompilation: no
CRAN checks: MSigSeg results

Documentation:

Reference manual: MSigSeg.pdf

Downloads:

Package source: MSigSeg_0.2.0.tar.gz
Windows binaries: r-prerel: MSigSeg_0.2.0.zip, r-release: MSigSeg_0.2.0.zip, r-oldrel: MSigSeg_0.2.0.zip
macOS binaries: r-prerel (arm64): MSigSeg_0.2.0.tgz, r-release (arm64): MSigSeg_0.2.0.tgz, r-oldrel (arm64): MSigSeg_0.2.0.tgz, r-prerel (x86_64): MSigSeg_0.2.0.tgz, r-release (x86_64): MSigSeg_0.2.0.tgz
Old sources: MSigSeg archive

Linking:

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