CRAN/E | VARDetect

VARDetect

Multiple Change Point Detection in Structural VAR Models

Installation

About

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.

Key Metrics

Version 0.1.6
R ≥ 3.5.0
Published 2022-05-10 728 days ago
Needs compilation? yes
License GPL-2
CRAN checks VARDetect results

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Maintainer

Maintainer

Yue Bai

baiyue@ufl.edu

Authors

Yue Bai

aut / cre

Peiliang Bai

aut

Abolfazl Safikhani

aut

George Michailidis

aut

Material

Reference manual
Package source

In Views

TimeSeries

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

VARDetect archive

Depends

R ≥ 3.5.0

Imports

stats
MTS
igraph
pracma
graphics
mvtnorm
sparsevar
lattice
Rcpp ≥ 1.0.7

Suggests

knitr
rmarkdown

LinkingTo

Rcpp
RcppArmadillo