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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
DOI: 10.32614/CRAN.package.MissCP
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.
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