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segmentr  

Segment Data With Maximum Likelihood
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("segmentr", "0.2.0")



Attach the package and use:
library("segmentr")
Maintained by
Thales Mello
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-01-17
Latest Update: 2019-08-28
Description:
Given a likelihood provided by the user, this package applies it to a given matrix dataset in order to find change points in the data that maximize the sum of the likelihoods of all the segments. This package provides a handful of algorithms with different time complexities and assumption compromises so the user is able to choose the best one for the problem at hand. The implementation of the segmentation algorithms in this package are based on the paper by Bruno M. de Castro, Florencia Leonardi (2018) . The Berlin weather sample dataset was provided by Deutscher Wetterdienst . You can find all the references in the Acknowledgments section of this package's repository via the URL below.
How to cite:
Thales Mello (2019). segmentr: Segment Data With Maximum Likelihood. R package version 0.2.0, https://cran.r-project.org/web/packages/segmentr
Previous versions and publish date:
0.1.1 (2019-01-17 17:50)
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