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:

3.00 score 1 stars 10 scripts 174 downloads 7 exports 15 dependencies

Last updated 9 months agofrom:130b2d2fec. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-winOKNov 04 2024
R-4.5-linuxOKNov 04 2024
R-4.4-winOKNov 04 2024
R-4.4-macOKNov 04 2024
R-4.3-winOKNov 04 2024
R-4.3-macOKNov 04 2024

Exports:detectBinarydetectGlassodetectMaxChangedetectSlidingtestGlassotestMaxtestPCA

Dependencies:codetoolsdoParallelforeachglassoiteratorslavaanLogConcDEADMASSmclustmnormtmvtnormnumDerivpbivnormquadprogsignal