The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

MissCP: Change Point Detection with Missing Values

A four step change point detection method that can detect break points with the presence of missing values proposed by Liu and Safikhani (2023) <https://drive.google.com/file/d/1a8sV3RJ8VofLWikTDTQ7W4XJ76cEj4Fg/view?usp=drive_link>.

Version: 0.1.0
Imports: stats, graphics, mvtnorm, factoextra, Rcpp, ggplot2, glmnet, sparsevar
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
Published: 2023-07-06
Author: Yanxi Liu [aut, cre], Abolfazl Safikhani [aut]
Maintainer: Yanxi Liu <liuyanxi at ufl.edu>
License: GPL-2
NeedsCompilation: yes
CRAN checks: MissCP results

Documentation:

Reference manual: MissCP.pdf
Vignettes: myVignette

Downloads:

Package source: MissCP_0.1.0.tar.gz
Windows binaries: r-devel: MissCP_0.1.0.zip, r-release: MissCP_0.1.0.zip, r-oldrel: MissCP_0.1.0.zip
macOS binaries: r-release (arm64): MissCP_0.1.0.tgz, r-oldrel (arm64): MissCP_0.1.0.tgz, r-release (x86_64): MissCP_0.1.0.tgz, r-oldrel (x86_64): MissCP_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MissCP to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.