detectR: Change Point Detection

Time series analysis of network connectivity. Detects and visualizes change points between networks. Methods included in the package are discussed in depth in Baek, C., Gates, K. M., Leinwand, B., Pipiras, V. (2021) "Two sample tests for high-dimensional auto- covariances" <doi:10.1016/j.csda.2020.107067> and Baek, C., Gampe, M., Leinwand B., Lindquist K., Hopfinger J. and Gates K. (2021) “Detecting functional connectivity changes in fMRI data”. Preprint.

Version:	0.1.0
Depends:	R (≥ 2.10)
Imports:	signal, lavaan, doParallel, graphics, glasso, stats, LogConcDEAD, foreach, parallel
Published:	2021-02-08
Author:	Matthew Gampe [aut, cre], Changryong Baek [aut], Kathleen M. Gates [aut], Vladas Pipiras [aut]
Maintainer:	Matthew Gampe <mgampe at live.unc.edu>
License:	Unlimited
URL:	https://github.com/mgampe/detectR
NeedsCompilation:	no
CRAN checks:	detectR results

Documentation:

Reference manual:

detectR.pdf

Downloads:

Package source:	detectR_0.1.0.tar.gz
Windows binaries:	r-devel: detectR_0.1.0.zip, r-release: detectR_0.1.0.zip, r-oldrel: detectR_0.1.0.zip
macOS binaries:	r-release (arm64): detectR_0.1.0.tgz, r-oldrel (arm64): detectR_0.1.0.tgz, r-release (x86_64): detectR_0.1.0.tgz, r-oldrel (x86_64): detectR_0.1.0.tgz

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