HDCD: High-Dimensional Changepoint Detection

Efficient implementations of the following multiple changepoint detection algorithms: Efficient Sparsity Adaptive Change-point estimator by Moen, Glad and Tveten (2023) <doi:10.48550/arXiv.2306.04702> , Informative Sparse Projection for Estimating Changepoints by Wang and Samworth (2017) <doi:10.1111/rssb.12243>, and the method of Pilliat et al (2023) <doi:10.1214/23-EJS2126>.

Version:	1.0
Imports:	mclust, Rdpack
Published:	2023-11-19
Author:	Per August Jarval Moen [cre, aut]
Maintainer:	Per August Jarval Moen <pamoen at math.uio.no>
License:	GPL-3
NeedsCompilation:	yes
Materials:	README
CRAN checks:	HDCD results

Documentation:

Reference manual:

HDCD.pdf

Downloads:

Package source:	HDCD_1.0.tar.gz
Windows binaries:	r-devel: HDCD_1.0.zip, r-release: HDCD_1.0.zip, r-oldrel: HDCD_1.0.zip
macOS binaries:	r-release (arm64): HDCD_1.0.tgz, r-oldrel (arm64): HDCD_1.0.tgz, r-release (x86_64): HDCD_1.0.tgz, r-oldrel (x86_64): HDCD_1.0.tgz

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