Package: decp
Type: Package
Title: Complete Change Point Analysis
Version: 0.1.2
Authors@R: c(
    person("Vasileios", "Pavlopoulos", email = "vasileios.pavlopoulos@uah.edu", role = c("cre", "aut")),
    person("Hieu", "Pham", email = "hieu.pham@uah.edu", role = c("aut", "ctb")),
    person("Paras", "Bhatt", email = "pb0084@uah.edu", role = c("aut", "ctb")),
    person("Yi", "Tan", email = "yi.tan@uah.edu", role = c("aut", "ctb")),
    person("Ravi", "Patnayakuni", email = "ravi.patnayakuni@uah.edu", role = c("aut", "ctb")))
Description: Provides a comprehensive approach for identifying and estimating change points in multivariate time series through various statistical methods. Implements the multiple change point detection methodology from Ryan & Killick (2023) <doi:10.1080/00401706.2023.2183261> and a novel estimation methodology from Fotopoulos et al. (2023) <doi:10.1007/s00362-023-01495-0> generalized to fit the detection methodologies. Performs both detection and estimation of change points, providing visualization and summary information of the estimation process for each detected change point.
Depends: R (>= 3.1)
License: GPL-3
Encoding: UTF-8
Imports: geigen, ggplot2, magrittr, matrixcalc, purrr, rlang, stats
RoxygenNote: 7.3.1
Maintainer: Vasileios Pavlopoulos <vasileios.pavlopoulos@uah.edu>
NeedsCompilation: no
Packaged: 2024-08-21 23:49:55 UTC; Business
Author: Vasileios Pavlopoulos [cre, aut],
  Hieu Pham [aut, ctb],
  Paras Bhatt [aut, ctb],
  Yi Tan [aut, ctb],
  Ravi Patnayakuni [aut, ctb]
Repository: CRAN
Date/Publication: 2024-08-22 09:10:02 UTC
Built: R 4.6.0; ; 2026-04-28 01:53:23 UTC; unix
