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ccid
View on CRAN: Click
here
Download and install ccid package within the R console
Install from CRAN:
install.packages("ccid")
Install from Github:
library("remotes")
install_github("cran/ccid") Install by package version:
library("remotes")
install_version("ccid", "1.2.0") Attach the package and use:
library("ccid")
Maintained by
Andreas Anastasiou
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-01-07
Latest Update: 2022-02-01
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 (2022), Cross-covariance isolate detect: A new change-point method for
estimating dynamic functional connectivity. Medical Image Analysis, Volume
75.
How to cite:
Andreas Anastasiou (2021). ccid: Cross-Covariance Isolate Detect: a New Change-Point Method for Estimating Dynamic Functional Connectivity. R package version 1.2.0, https://cran.r-project.org/web/packages/ccid. Accessed 04 Jun. 2026.
Other packages that cited ccid R package
View ccid citation profile
Other R packages that ccid depends,
imports, suggests or enhances
Complete documentation for ccid
Functions, R codes and Examples using
the ccid R package
Some associated functions: ccid . detect.ic . detect.th . match.cpt.ts . preaverage .
Some associated R codes: ccid-package.R . detect_cpts.R . misc.R . Full ccid package functions and examples
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