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 |
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