Package: ccid
Type: Package
Title: Cross-Covariance Isolate Detect: a New Change-Point Method for
        Estimating Dynamic Functional Connectivity
Version: 1.0.0
Depends: R (>= 3.6.0)
Imports: IDetect, hdbinseg, GeneNet, gdata
Authors@R: c(person("Andreas", "Anastasiou", email = "anastasiou.andreas@ucy.ac.cy", role = c("aut", "cre")),
        person("Ivor", "Cribben", email = "cribben@ualberta.ca", role = "aut"),
        person("Piotr", "Fryzlewicz", email = "p.fryzlewicz@lse.ac.uk", role = "aut"))
Description: 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
        (2020).
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.1.1
URL: https://github.com/Anastasiou-Andreas/ccid
BugReports: https://github.com/Anastasiou-Andreas/ccid/issues
Suggests: testthat
Repository: https://anastasiou-andreas.r-universe.dev
Date/Publication: 2020-12-22 06:51:36 UTC
RemoteUrl: https://github.com/anastasiou-andreas/ccid
RemoteRef: HEAD
RemoteSha: d9665a4c4ab31a983e43839eb2a6cb88c2e8a34e
NeedsCompilation: no
Packaged: 2026-09-27 07:15:34 UTC; root
Author: Andreas Anastasiou [aut, cre],
  Ivor Cribben [aut],
  Piotr Fryzlewicz [aut]
Maintainer: Andreas Anastasiou <anastasiou.andreas@ucy.ac.cy>