evaluate_model.vector_rsa_model: Evaluate model performance for vector RSA

In bbuchsbaum/rMVPA: Multivoxel Pattern Analysis in R

Evaluate model performance for vector RSA

Description

Computes the mean second-order similarity score and handles permutation testing.

Usage

evaluate_model.vector_rsa_model(
  object,
  predicted,
  observed,
  roi_data_for_perm = NULL,
  nperm = 0,
  save_distributions = FALSE,
  ...
)

Arguments

object	The vector RSA model specification.
predicted	Ignored (vector RSA doesn't predict in the typical sense).
observed	The computed second-order similarity scores (vector from train_model).
roi_data_for_perm	New parameter
nperm	Number of permutations from the model spec.
save_distributions	Logical, whether to save full permutation distributions.
...	Additional arguments.

Value

A list containing the mean RSA score ('rsa_score'), raw scores, and optional permutation results ('p_values', 'z_scores', 'permutation_distributions').

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