afnireg

AFNI Integration for fMRI Analysis in R

Overview

The afnireg package provides an R interface to AFNI’s 3dDeconvolve program for fMRI analysis. It allows users to specify complex experimental designs and HRF models in R using the fmridesign framework and execute them using AFNI’s optimized estimation routines.

Installation

# Install from GitHub
remotes::install_github("bbuchsbaum/afnireg")

Dependencies

This package depends on: - fmridesign: Event model specification - fmrihrf: HRF modeling - fmridataset: Dataset handling

Features

• Native AFNI HRF specifications
• Trialwise modulation support
• Automatic contrast conversion to GLT format
• Support for multiple HRF basis functions
• Multi-run designs
• Censoring and nuisance regression

Usage

library(afnireg)

# Create an AFNI HRF specification
hrf_spec <- afni_hrf(type = "SPMG1")

# Build a model for AFNI
model <- afni_lm(
  dataset = my_data,
  event_model = my_events,
  hrf_spec = hrf_spec
)

# Run the model in AFNI
results <- run(model)

Documentation

See the package vignette for a complete tutorial:

vignette("afni_tutorial", package = "afnireg")

License

GPL (>= 2)