Package: TSMCP 1.1

Yaguang Li

TSMCP: Fast Two Stage Multiple Change Point Detection

A novel and fast two stage method for simultaneous multiple change point detection and variable selection for piecewise stationary autoregressive (PSAR) processes and linear regression model. It also simultaneously performs variable selection for each autoregressive model and hence the order selection.

Authors:Yaguang Li [aut, cre], Baisuo Jin [aut]

TSMCP_1.1.tar.gz
TSMCP_1.1.zip(r-4.7-any)TSMCP_1.1.zip(r-4.6-any)
TSMCP_1.1.tar.gz(r-4.7-any)TSMCP_1.1.tar.gz(r-4.6-any)
TSMCP_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
TSMCP/json (API)

# Install 'TSMCP' in R:
install.packages('TSMCP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 3 scripts 216 downloads 2 exports 2 dependencies

Last updated from:7a13cb3377. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK95
source / vignettesOK162
linux-releaseOK158
windows-develOK62
windows-releaseOK91
wasm-releaseOK106

Exports:cpvntstsmcplm

Dependencies:larsncvreg