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.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
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 123 downloads 2 exports 2 dependencies

Last updated from:7a13cb3377. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK88
source / vignettesOK155
linux-release-x86_64OK110
wasm-releaseOK93

Exports:cpvntstsmcplm

Dependencies:larsncvreg