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DESCRIPTION
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DESCRIPTION
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Package: BinSeg
Type: Package
Title: Efficient Binary Segmentation for several distributions
Version: 1.0
Date: 2021-06-10
Authors@R: c(person("Diego Enrique", "Jimenez Urgell", role=c("aut", "cre"), email="diegourgell0@gmail.com"),
person("Rebecca", "Killick", role=c("aut", "rev")),
person("Toby", "Hocking", role=c("aut", "rev")))
Maintainer: Diego Enrique Jimenez Urgell <diegourgell0@gmail.com>
URL: https://github.com/diego-urgell/BinSeg
BugReports: https://github.com/diego-urgell/BinSeg/issues
Description: Implements the regular Binary Segmentation Algorithm in a very efficient way. It supports distribution specific cost functions for several different distributions and types of changes. The changepoint analysis is implemented in C++, by using an Object Oriented approach such that the package is seamlessly extensible in terms of cost functions and Binary Segmentation based algorithms.
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Use BinSegInfo to know the available algorithms, and BinSegModel to compute a changepoint analysis with the specified data, algorithm, and distribution. Then, use the BinSeg class methods to interact with and visualize the models.
License: MIT
Depends:
R(>= 4.0)
Imports:
data.table,
ggplot2,
ggfortify,
Rcpp (>= 1.0.6),
methods
LinkingTo: Rcpp
Suggests:
covr,
testthat (>= 3.0.0)
Config/testthat/edition: 3
RoxygenNote: 7.1.1
Collate:
'BinSeg.R'
'RcppExports.R'
'UserInterface.R'