Package: detectR 0.3.0

Changryong Baek

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>.

Authors:Changryong Baek [aut, cre], Mattew Gampe [aut], Kathleen M. Gates [aut], Seok-Oh Jeong [aut], Vladas Pipiras [aut]

detectR_0.3.0.tar.gz
detectR_0.3.0.zip(r-4.5)detectR_0.3.0.zip(r-4.4)detectR_0.3.0.zip(r-4.3)
detectR_0.3.0.tgz(r-4.4-any)detectR_0.3.0.tgz(r-4.3-any)
detectR_0.3.0.tar.gz(r-4.5-noble)detectR_0.3.0.tar.gz(r-4.4-noble)
detectR_0.3.0.tgz(r-4.4-emscripten)detectR_0.3.0.tgz(r-4.3-emscripten)
detectR.pdf |detectR.html
detectR/json (API)

# Install 'detectR' in R:
install.packages('detectR', repos = c('https://crbaek.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/crbaek/detectr/issues

Datasets:

On CRAN:

7 exports 1 stars 0.93 score 15 dependencies 10 scripts 261 downloads

Last updated 7 months agofrom:130b2d2fec. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 05 2024
R-4.5-winOKSep 05 2024
R-4.5-linuxOKSep 05 2024
R-4.4-winOKSep 05 2024
R-4.4-macOKSep 05 2024
R-4.3-winOKSep 05 2024
R-4.3-macOKSep 05 2024

Exports:detectBinarydetectGlassodetectMaxChangedetectSlidingtestGlassotestMaxtestPCA

Dependencies:codetoolsdoParallelforeachglassoiteratorslavaanLogConcDEADMASSmclustmnormtmvtnormnumDerivpbivnormquadprogsignal