CRAN/E | HDTSA

HDTSA

High Dimensional Time Series Analysis Tools

Installation

About

Procedures for high-dimensional time series analysis including factor analysis proposed by Lam and Yao (2012) doi:10.1214/12-AOS970 and Chang, Guo and Yao (2015) doi:10.1016/j.jeconom.2015.03.024, martingale difference test proposed by Chang, Jiang and Shao (2021) preprint, principal component analysis proposed by Chang, Guo and Yao (2018) doi:10.1214/17-AOS1613, identifying conintegration proposed by Zhang, Robinson and Yao (2019) doi:10.1080/01621459.2018.1458620, unit root test proposed by Chang, Cheng and Yao (2021) doi:10.1093/biomet/asab034 and white noise test proposed by Chang, Yao and Zhou (2017) doi:10.1093/biomet/asw066.

github.com/Linc2021/HDTSA
Bug report File report

Key Metrics

Version 1.0.2
R ≥ 3.5.0
Published 2023-01-07 487 days ago
Needs compilation? yes
License GPL-3
CRAN checks HDTSA results

Downloads

Yesterday 12 +9%
Last 7 days 62 -31%
Last 30 days 247 +2%
Last 90 days 677 -24%
Last 365 days 3.114 -18%

Maintainer

Maintainer

Chen Lin

linchen@smail.swufe.edu.cn

Authors

Chen Lin

aut / cre

Jinyuan Chang

aut

Qiwei Yao

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

HDTSA archive

Depends

R ≥ 3.5.0

Imports

stats
Rcpp
clime
sandwich
methods

Suggests

knitr

LinkingTo

Rcpp
RcppEigen