Design Matrix Construction for fMRI Analysis
fmridesign provides tools for constructing design matrices for functional magnetic resonance imaging (fMRI) analyses. It includes facilities for creating event models with flexible hemodynamic response functions (HRFs), baseline models for nuisance regression, and utilities for handling experimental designs.
This package focuses on the design aspect of fMRI analysis and is intended to be used with analysis packages like fmrireg.
# Install development version from GitHub
# install.packages("devtools")
# devtools::install_github("bbuchsbaum/fmridesign")
install.packages("fmridesign", repos = c('https://bbuchsbaum.r-universe.dev', 'https://cloud.r-project.org'))
fmrihrf packagelibrary(fmridesign)
# Create event data
event_data <- data.frame(
condition = factor(c("A", "B", "A", "B")),
onsets = c(1, 10, 20, 80),
run = c(1, 1, 1, 1)
)
# Define sampling frame
sframe <- sampling_frame(blocklens = 100, TR = 2)
# Create event model
ev_model <- event_model(
onsets ~ hrf(condition),
data = event_data,
block = ~run,
sampling_frame = sframe
)
# Create baseline model
base_model <- baseline_model(
basis = "bs",
degree = 3,
sframe = sframe
)
# Extract design matrices
event_dm <- design_matrix(ev_model)
baseline_dm <- design_matrix(base_model)
fmrireg: Analysis and fitting of fMRI modelsfmrihrf: Hemodynamic response functionsfmridataset: fMRI dataset structuresFrom R, you can also open installed vignettes:
vignette("a_01_introduction", package = "fmridesign")
vignette("a_03_baseline_model", package = "fmridesign")
vignette("a_04_event_models", package = "fmridesign")
vignette("a_05_contrasts", package = "fmridesign")
MIT
This package uses the albersdown theme. Existing vignette theme hooks are replaced so albers.css and local albers.js render consistently on CRAN and GitHub Pages. The defaults are configured via params$family and params$preset (family = 'lapis', preset = 'adobe'). The pkgdown site uses template: { package: albersdown }.