dpseg: Piecewise Linear Segmentation by Dynamic Programming

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
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

Documentation:

Reference manual:	dpseg.pdf
Vignettes:	Piecewise Linear Segmentation by Dynamic Programming

Downloads:

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 dependencies:

Reverse imports:

SherlockHolmes

Linking:

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