convolve.event_term: Convolve an event-related design matrix with an HRF.

In bbuchsbaum/fmrireg: R package for the anlysis of fmri data

Convolve an event-related design matrix with an HRF.

Description

This function takes an event-related design matrix and convolves it with a specified Hemodynamic Response Function (HRF) to create a new design matrix suitable for fMRI analysis. It also supports additional arguments for flexibility and customization.

Usage

## S3 method for class 'event_term'
convolve(
  x,
  hrf,
  sampling_frame,
  drop.empty = TRUE,
  summate = TRUE,
  precision = 0.3,
  ...
)

Arguments

x	A data frame containing the input design matrix.
hrf	A Hemodynamic Response Function to convolve the design matrix with.
sampling_frame	A data frame specifying the sampling frame for the analysis.
drop.empty	Logical. If TRUE, empty rows in the design matrix will be removed.
summate	Logical. If TRUE, the convolved design matrix will be summed.
precision	Numeric. The desired precision for the calculations.
...	Additional arguments to be passed to the function.

Value

A convolved design matrix, in tibble format.

bbuchsbaum/fmrireg documentation built on May 16, 2023, 10:56 a.m.