evaluate_method_performance: Evaluate Method Performance on Benchmark Dataset

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

Evaluate Method Performance on Benchmark Dataset

Description

Helper function to evaluate the performance of beta estimation methods on benchmark datasets by comparing estimated betas to ground truth.

Usage

evaluate_method_performance(
  dataset_name,
  estimated_betas,
  method_name = "Unknown"
)

Arguments

dataset_name	Character string specifying which dataset to use
estimated_betas	Matrix of estimated beta values (conditions x voxels)
method_name	Character string describing the method used

Value

A list with performance metrics

Examples

## Not run: 
# Load dataset and create design matrix
dataset <- load_benchmark_dataset("BM_Canonical_HighSNR")
X <- create_design_matrix_from_benchmark("BM_Canonical_HighSNR", fmrihrf::HRF_SPMG1)

# Fit simple linear model
betas <- solve(t(X) %*% X) %*% t(X) %*% dataset$Y_noisy

# Evaluate performance
performance <- evaluate_method_performance("BM_Canonical_HighSNR", 
                                          betas[-1, ], # Remove intercept
                                          "OLS")

## End(Not run)

bbuchsbaum/fmrireg documentation built on June 10, 2025, 8:18 p.m.