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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 [aut, cre], Peter F. Stadler [aut] |
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.pdf |
Vignettes: |
Piecewise Linear Segmentation by Dynamic Programming |
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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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.