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fpop
View on CRAN: Click
here
Download and install fpop package within the R console
Install from CRAN:
install.packages("fpop")
Install from Github:
library("remotes")
install_github("cran/fpop")
Install by package version:
library("remotes")
install_version("fpop", "2019.08.26")
Attach the package and use:
library("fpop")
Maintained by
Guillem Rigaill
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-27
Latest Update: 2019-08-27
Description:
A dynamic programming algorithm for the fast segmentation of univariate signals into piecewise constant profiles.
The 'fpop' package is a wrapper to a C++ implementation of the fpop (Functional Pruning Optimal Partioning) algorithm described in Maidstone et al. 2017
. The problem of detecting changepoints in an univariate sequence is formulated
in terms of minimising the mean squared error over segmentations. The fpop algorithm exactly minimizes the mean squared error
for a penalty linear in the number of changepoints.
How to cite:
Guillem Rigaill (2019). fpop: Segmentation using Optimal Partitioning and Function Pruning. R package version 2019.08.26, https://cran.r-project.org/web/packages/fpop
Previous versions and publish date:
No previous versions
Other packages that cited fpop R package
View fpop citation profile
Other R packages that fpop depends,
imports, suggests or enhances
Functions, R codes and Examples using
the fpop R package
Some associated functions: Fpop . fpop-package . fpop_analysis . multiBinSeg . retour_op .
Some associated R codes: fpaccess.R . multiBinSeg.R . onLoad.R . Full fpop package functions and examples
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