Package: segmentr
Type: Package
Title: Segment Data Minimizing a Cost Function
Version: 0.2.0
Authors@R: c(
    person("Thales", "Mello", email = "thalesmello@gmail.com", role = c("aut", "cre", "cph")),
    person("Florencia", "Leonardi", role = c("aut", "cph", "ths")),
    person("Bruno M.", "de Castro", role = c("cph")),
    person("Deutscher Wetterdienst", role = c("cph"))
    )
Maintainer: Thales Mello <thalesmello@gmail.com>
Description: Given a cost function provided by the user, this package
        applies it to a given matrix dataset in order to find change
        points in the data that minimize the sum of the costs 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) <arXiv:1501.01756>. The Berlin weather sample
        dataset was provided by Deutscher Wetterdienst
        <https://dwd.de/>. You can find all the references in the
        Acknowledgments section of this package's repository via the
        URL below.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: Rcpp (>= 0.12.16), foreach, glue
LinkingTo: Rcpp
Suggests: testthat, doParallel, knitr, rmarkdown, tidyr, tibble, dplyr,
        lubridate, magrittr, rdwd, purrr
RoxygenNote: 6.1.1
Roxygen: list(markdown = TRUE)
VignetteBuilder: knitr
Language: en-US
URL: https://github.com/thalesmello/segmentr
Repository: https://segmentr-package.r-universe.dev
Date/Publication: 2020-03-03 20:03:33 UTC
RemoteUrl: https://github.com/segmentr-package/segmentr
RemoteRef: HEAD
RemoteSha: a75c0affff108c9b29493b96a76a7b21b14389fe
NeedsCompilation: yes
Packaged: 2026-06-23 10:24:20 UTC; root
Author: Thales Mello [aut, cre, cph],
  Florencia Leonardi [aut, cph, ths],
  Bruno M. de Castro [cph],
  Deutscher Wetterdienst [cph]