Piecewise linear segmentation of ordered data by a dynamic programming algorithm. The algorithm was developed for time series data, e.g. growth curves, and for genome-wide read-count data from next generation sequencing, but is broadly applicable. Generic implementations of dynamic programming routines allow to scan for optimal segmentation parameters and test custom segmentation criteria ("scoring functions").
| Version: | 0.1.1 |
| Depends: | R (≥ 3.0.0) |
| Imports: | Rcpp (≥ 0.12.18) |
| LinkingTo: | Rcpp |
| Suggests: | markdown, knitr, htmltools, RcppDynProg, microbenchmark, ggplot2 |
| Published: | 2020-08-17 |
| DOI: | 10.32614/CRAN.package.dpseg |
| Author: | Rainer Machne |
| Maintainer: | Rainer Machne <machne at hhu.de> |
| BugReports: | https://gitlab.com/raim/dpseg/-/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://gitlab.com/raim/dpseg/ |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | dpseg results |
| Reference manual: | dpseg.html , dpseg.pdf |
| Vignettes: |
Piecewise Linear Segmentation by Dynamic Programming (source, R code) |
| Package source: | dpseg_0.1.1.tar.gz |
| Windows binaries: | r-devel: dpseg_0.1.1.zip, r-release: dpseg_0.1.1.zip, r-oldrel: dpseg_0.1.1.zip |
| macOS binaries: | r-release (arm64): dpseg_0.1.1.tgz, r-oldrel (arm64): dpseg_0.1.1.tgz, r-release (x86_64): dpseg_0.1.1.tgz, r-oldrel (x86_64): dpseg_0.1.1.tgz |
| Reverse imports: | SherlockHolmes |
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