hpf_param: hpf
In BayesBrainMap: Estimate Brain Networks and Connectivity with Population-Derived Priors
hpf_param R Documentation
hpf
Description
hpf
Arguments
hpf
The frequency at which to apply a highpass filter to the data
during pre-processing, in Hertz. Default: 0 Hz (disabled). If the
data has not already been highpass filtered, a recommended filter value is
.01 Hz.
The highpass filter serves to detrend the data, since low-frequency
variance is associated with noise. Highpass filtering is accomplished by
nuisance regression of discrete cosine transform (DCT) bases.
Note the TR argument is required for highpass filtering. If
TR is not provided, hpf will be ignored.
BayesBrainMap documentation built on Aug. 8, 2025, 7:25 p.m.
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| hpf_param | R Documentation |
hpf
Description
hpf
Arguments
hpf |
The frequency at which to apply a highpass filter to the data
during pre-processing, in Hertz. Default: Note the |
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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