getInvCovAR: Compute inverse covariance matrix for AR process (up to a...
In templateICAr: Estimate Brain Networks and Connectivity with ICA and Empirical Priors
getInvCovAR R Documentation
Compute inverse covariance matrix for AR process (up to a constant scaling factor)
Description
Compute inverse covariance matrix for AR process (up to a constant scaling factor)
Usage
getInvCovAR(ar, ntime)
Arguments
ar
vector of p AR parameters
ntime
number of time points in timeseries
Value
inverse covariance matrix for AR process (up to a constant scaling factor)
templateICAr documentation built on Oct. 14, 2024, 5:08 p.m.
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| getInvCovAR | R Documentation |
Compute inverse covariance matrix for AR process (up to a constant scaling factor)
Description
Compute inverse covariance matrix for AR process (up to a constant scaling factor)
Usage
getInvCovAR(ar, ntime)
Arguments
ar |
vector of p AR parameters |
ntime |
number of time points in timeseries |
Value
inverse covariance matrix for AR process (up to a constant scaling factor)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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