Package: VARDetect
Type: Package
Title: Multiple Change Point Detection in Structural VAR Models
Version: 0.1.8
Author: Yue Bai [aut, cre],
  Peiliang Bai [aut],
  Abolfazl Safikhani [aut],
  George Michailidis [aut]
Authors@R: c(person("Yue", "Bai", email = "baiyue69@gmail.com", role = c("aut", "cre")),
	           person("Peiliang", "Bai", email = "baiplstat@gmail.com", role = c("aut")),
	           person("Abolfazl", "Safikhani", email = "a.safikhani@ufl.edu", role = c("aut")),
	           person("George", "Michailidis", email = "gmichail@ufl.edu", role = c("aut")))
Maintainer: Yue Bai <baiyue69@gmail.com>
Description: Implementations of Thresholded Block Segmentation Scheme (TBSS) and Low-rank plus Sparse Two Step Procedure (LSTSP) algorithms for detecting multiple changes in structural VAR models. The package aims to address the problem of change point detection in piece-wise stationary VAR models, under different settings regarding the structure of their transition matrices (autoregressive dynamics); specifically, the following cases are included: (i) (weakly) sparse, (ii) structured sparse, and (iii) low rank plus sparse. It includes multiple algorithms and related extensions from Safikhani and Shojaie (2020) <doi:10.1080/01621459.2020.1770097> and Bai, Safikhani and Michailidis (2020) <doi:10.1109/TSP.2020.2993145>.
License: GPL-2
LazyData: true
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, MTS, igraph, pracma, graphics, mvtnorm, sparsevar,
        lattice, Rcpp (>= 1.0.7)
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
RoxygenNote: 7.3.1
NeedsCompilation: yes
Packaged: 2024-06-15 14:53:50 UTC; baipl
Repository: CRAN
Date/Publication: 2024-06-15 18:20:06 UTC
Built: R 4.4.1; powerpc-apple-darwin10.0.0d2; 2024-06-16 19:52:46 UTC; unix
