evaluate_model.feature_rsa_model: Evaluate model performance for feature RSA

In bbuchsbaum/rMVPA: Multivoxel Pattern Analysis in R

Evaluate model performance for feature RSA

Description

Computes correlation-based metrics (diag correlation, mean correlation, voxel correlation), MSE, R^2, and optionally performs permutation tests (via a helper function).

Usage

evaluate_model.feature_rsa_model(
  object,
  predicted,
  observed,
  nperm = 0,
  save_distributions = FALSE,
  ...
)

Arguments

object	The feature RSA model
predicted	Matrix of predicted values (from feature space F to voxel space X)
observed	Matrix of observed values (actual voxel space X)
nperm	Number of permutations for statistical testing (default: 0, no permutation)
save_distributions	Logical indicating whether to save full permutation distributions
...	Additional arguments

Value

A list containing performance metrics and optional permutation results

bbuchsbaum/rMVPA documentation built on June 10, 2025, 8:23 p.m.