MRI_AR1: Create an AR(1) GLM model for fMRI data

In EMC2: Bayesian Hierarchical Analysis of Cognitive Models of Choice

Create an AR(1) GLM model for fMRI data

Description

This function creates a model specification for MRI data with an AR(1) error structure. The model includes beta parameters for the design matrix, a rho parameter for the autocorrelation, and a standard deviation parameter for the noise.

Usage

MRI_AR1()

Details

The AR(1) model accounts for temporal autocorrelation in the data, where each timepoint is correlated with the previous timepoint according to the rho parameter.

Value

A list containing the model specifications

Examples

# Create an AR(1) GLM model for fMRI data
model_spec <- MRI_AR1()

# Access model parameters
model_spec$p_types

EMC2 documentation built on Dec. 2, 2025, 9:06 a.m.