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Provides efficient implementation of the Cross-Covariance Isolate Detect (CCID) methodology for the estimation of the number and location of multiple change-points in the second-order (cross-covariance or network) structure of multivariate, possibly high-dimensional time series. The method is motivated by the detection of change points in functional connectivity networks for functional magnetic resonance imaging (fMRI), electroencephalography (EEG), magentoencephalography (MEG) and electrocorticography (ECoG) data. The main routines in the package have been extensively tested on fMRI data. For details on the CCID methodology, please see Anastasiou et al (2022), Cross-covariance isolate detect: A new change-point method for estimating dynamic functional connectivity. Medical Image Analysis, Volume 75.
| Version: | 1.2.0 |
| Depends: | R (≥ 3.6.0) |
| Imports: | IDetect, hdbinseg, GeneNet, gdata |
| Suggests: | testthat (≥ 2.0.0) |
| Published: | 2022-02-01 |
| DOI: | 10.32614/CRAN.package.ccid |
| Author: | Andreas Anastasiou [aut, cre], Ivor Cribben [aut], Piotr Fryzlewicz [aut] |
| Maintainer: | Andreas Anastasiou <anastasiou.andreas at ucy.ac.cy> |
| BugReports: | https://github.com/Anastasiou-Andreas/ccid/issues |
| License: | GPL-3 |
| URL: | https://github.com/Anastasiou-Andreas/ccid |
| NeedsCompilation: | no |
| Citation: | ccid citation info |
| Materials: | README |
| CRAN checks: | ccid results |
| Reference manual: | ccid.pdf |
| Package source: | ccid_1.2.0.tar.gz |
| Windows binaries: | r-devel: ccid_1.2.0.zip, r-release: ccid_1.2.0.zip, r-oldrel: ccid_1.2.0.zip |
| macOS binaries: | r-release (arm64): ccid_1.2.0.tgz, r-oldrel (arm64): ccid_1.2.0.tgz, r-release (x86_64): ccid_1.2.0.tgz, r-oldrel (x86_64): ccid_1.2.0.tgz |
| Old sources: | ccid archive |
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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.