design_fmri {EMC2} | R Documentation |
Create fMRI Design for EMC2 Sampling
Description
This function takes the output from convolve_design_matrix and transforms it into a design suitable for sampling with EMC2. It properly configures parameter types, bounds, and transformations for the specified model.
Usage
design_fmri(design_matrix, model = MRI_AR1, ...)
Arguments
design_matrix |
A list of design matrices, the output from convolve_design_matrix |
model |
A function that returns a model specification, options are MRI or MRI_AR1 |
... |
Additional arguments passed to the model |
Value
An object of class 'emc.design' suitable for EMC2 sampling
Examples
# Generate a simple example timeseries
ts <- data.frame(
subjects = rep(1, 100),
run = rep(1, 100),
time = cumsum(rep(1.38, 100)),
ROI1 = rnorm(100)
)
# Generate example events
events <- data.frame(
subjects = rep(1, 4),
run = rep(1, 4),
onset = c(10, 30, 50, 70),
duration = rep(0.5, 4),
event_type = c("A", "B", "A", "B"),
modulation = c(1, 1, 1, 1)
)
# Create convolved design matrix
design_matrix <- convolve_design_matrix(
timeseries = ts,
events = events,
factors = list(condition = c("A", "B")),
hrf_model = "glover"
)
# Create fMRI design for EMC2
fmri_design <- design_fmri(design_matrix, model = MRI_AR1)
[Package EMC2 version 3.2.0 Index]