CRAN/E | segmentr

segmentr

Segment Data With Maximum Likelihood

Installation

About

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.

github.com/thalesmello/segmentr

Key Metrics

Version 0.2.0
R ≥ 2.10
Published 2019-08-28 1872 days ago
Needs compilation? yes
License MIT
License File
CRAN checks segmentr results
Language en-US

Downloads

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Maintainer

Maintainer

Thales Mello

Authors

Thales Mello

aut / cre / cph

Florencia Leonardi

aut / cph / ths

Bruno M. de Castro

cph

Deutscher Wetterdienst

cph

Material

README
NEWS
Reference manual
Package source

Vignettes

Segmenting data with Segmentr

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

segmentr archive

Depends

R ≥ 2.10

Imports

Rcpp ≥ 0.12.16
foreach
glue

Suggests

testthat
doParallel
knitr
rmarkdown
tidyr
tibble
dplyr
lubridate
magrittr
rdwd
purrr

LinkingTo

Rcpp