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hrf_boxcar() function for simple boxcar (step
function) HRFs with optional normalization.hrf_weighted() function for arbitrary
weighted-window HRFs with constant or linear interpolation.regressor() now accepts a list of HRF objects for
trial-varying HRF designs.plot.Reg() method for visualizing regressor
objects.plot_regressors() for comparing multiple regressors
on one plot (ggplot2 or base R).plot_hrfs() for comparing multiple HRF shapes.print.HRF() method for concise HRF summaries.as_hrf() where parameters stored
in the params attribute were never used at evaluation time.
The fix creates a closure that properly captures and applies parameters
during evaluation.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.