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dpseg  

Piecewise Linear Segmentation by Dynamic Programming
View on CRAN: Click here


Download and install dpseg package within the R console
Install from CRAN:
install.packages("dpseg")

Install from Github:
library("remotes")
install_github("cran/dpseg")

Install by package version:
library("remotes")
install_version("dpseg", "0.1.1")



Attach the package and use:
library("dpseg")
Maintained by
Rainer Machne
[Scholar Profile | Author Map]
First Published: 2020-08-17
Latest Update: 2020-08-17
Description:
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").
How to cite:
Rainer Machne (2020). dpseg: Piecewise Linear Segmentation by Dynamic Programming. R package version 0.1.1, https://cran.r-project.org/web/packages/dpseg. Accessed 07 May. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited dpseg R package
View dpseg citation profile
Other R packages that dpseg depends, imports, suggests or enhances
Complete documentation for dpseg
Functions, R codes and Examples using the dpseg R package
Some associated functions: addLm . backtrace_r . dpseg . dpseg_old . estimateP . movie . oddata . plot.dpseg . predict.dpseg . print.dpseg . scanP . sgtable . 
Some associated R codes: RcppExports.R . data.R . dpseg.R . old.R . recursions.R . scans.R .  Full dpseg package functions and examples
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