wgr_deconv_canonhrf_par: R port of Wu et al. 2013, Medical Image Analysis Adapted from...
In PennStateDEPENdLab/dependlab: Useful functions for the UNC Chapel Hill DEPENd Lab (Director: Michael Hallquist)
View source: R/deconvolve_funcs.R
wgr_deconv_canonhrf_par R Documentation
R port of Wu et al. 2013, Medical Image Analysis
Adapted from the original provided by Daniele Marinazzo
Description
R port of Wu et al. 2013, Medical Image Analysis
Adapted from the original provided by Daniele Marinazzo
Usage
wgr_deconv_canonhrf_par(data, thr = 1, event_lag_max, TR)
Arguments
data
dataset to deconvolve
event_lag_max
longest lag after an event that could generate a BOLD response
TR
repetition time of scan (in seconds)
threshold
(in SD units) for defining latent neural events
PennStateDEPENdLab/dependlab documentation built on Sept. 26, 2024, 8:40 p.m.
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View source: R/deconvolve_funcs.R
| wgr_deconv_canonhrf_par | R Documentation |
R port of Wu et al. 2013, Medical Image Analysis Adapted from the original provided by Daniele Marinazzo
Description
R port of Wu et al. 2013, Medical Image Analysis Adapted from the original provided by Daniele Marinazzo
Usage
wgr_deconv_canonhrf_par(data, thr = 1, event_lag_max, TR)
Arguments
data |
dataset to deconvolve |
event_lag_max |
longest lag after an event that could generate a BOLD response |
TR |
repetition time of scan (in seconds) |
threshold |
(in SD units) for defining latent neural events |
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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