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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