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 |
| Reference manual: | detectR.pdf |
| 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: detectR_0.1.0.tgz, r-oldrel: detectR_0.1.0.tgz |
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