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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. (2023) “Detecting functional connectivity changes in fMRI data” <doi:10.1007/s11336-023-09908-7>.

Version: 0.3.0
Depends: R (≥ 2.10)
Imports: signal, lavaan, doParallel, glasso, LogConcDEAD, foreach, parallel
Published: 2024-03-08
DOI: 10.32614/CRAN.package.detectR
Author: Changryong Baek [aut, cre], Mattew Gampe [aut], Kathleen M. Gates [aut], Seok-Oh Jeong [aut], Vladas Pipiras [aut]
Maintainer: Changryong Baek <crbaek at skku.edu>
License: Unlimited
URL: https://github.com/crbaek/detectR
NeedsCompilation: no
CRAN checks: detectR results

Documentation:

Reference manual: detectR.pdf

Downloads:

Package source: detectR_0.3.0.tar.gz
Windows binaries: r-devel: detectR_0.3.0.zip, r-release: detectR_0.3.0.zip, r-oldrel: detectR_0.3.0.zip
macOS binaries: r-release (arm64): detectR_0.3.0.tgz, r-oldrel (arm64): detectR_0.3.0.tgz, r-release (x86_64): detectR_0.3.0.tgz, r-oldrel (x86_64): detectR_0.3.0.tgz
Old sources: detectR archive

Linking:

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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.