Package: dpseg 0.1.3

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").

Authors:Rainer Machne [aut, cre], Peter F. Stadler [aut]

dpseg_0.1.3.tar.gz
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dpseg.pdf |dpseg.html
dpseg/json (API)

# Install 'dpseg' in R:
install.packages('dpseg', repos = c('https://raim.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://gitlab.com/raim/dpseg

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • oddata - Escherichia coli growth curves.

On CRAN:

4.71 score 1 packages 17 scripts 174 downloads 8 exports 1 dependencies

Last updated 19 days agofrom:a49f01f6f6. Checks:OK: 1 WARNING: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 18 2024
R-4.5-win-x86_64WARNINGOct 18 2024
R-4.5-linux-x86_64WARNINGOct 18 2024
R-4.4-win-x86_64WARNINGOct 18 2024
R-4.4-mac-x86_64WARNINGOct 18 2024
R-4.4-mac-aarch64WARNINGOct 18 2024
R-4.3-win-x86_64WARNINGOct 18 2024
R-4.3-mac-x86_64WARNINGOct 18 2024
R-4.3-mac-aarch64WARNINGOct 18 2024

Exports:addLmbacktrace_rdpsegdpseg_oldestimatePmoviescanPsgtable

Dependencies:Rcpp

Piecewise Linear Segmentation by Dynamic Programming

Rendered fromdpseg.Rmdusingknitr::rmarkdownon Oct 18 2024.

Last update: 2020-11-11
Started: 2020-07-30