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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 |
| DOI: | 10.32614/CRAN.package.MSigSeg |
| 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 |
| Reference manual: | MSigSeg.pdf |
| Package source: | MSigSeg_0.2.0.tar.gz |
| Windows binaries: | r-devel: MSigSeg_0.2.0.zip, r-release: MSigSeg_0.2.0.zip, r-oldrel: MSigSeg_0.2.0.zip |
| macOS binaries: | r-release (arm64): MSigSeg_0.2.0.tgz, r-oldrel (arm64): MSigSeg_0.2.0.tgz, r-release (x86_64): MSigSeg_0.2.0.tgz, r-oldrel (x86_64): MSigSeg_0.2.0.tgz |
| Old sources: | MSigSeg archive |
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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.