vector_rsa_model: Create a vectorized RSA model

In bbuchsbaum/rMVPA: Multivoxel Pattern Analysis in R

Create a vectorized RSA model

Description

This function integrates a vector_rsa_design and an mvpa_dataset to create a vectorized RSA model.

Usage

vector_rsa_model(
  dataset,
  design,
  distfun = cordist(),
  rsa_simfun = c("pearson", "spearman"),
  nperm = 0,
  save_distributions = FALSE,
  return_predictions = FALSE
)

Arguments

dataset	An mvpa_dataset object.
design	A vector_rsa_design object.
distfun	A distfun (distance function) for computing pairwise dissimilarities among image rows.
rsa_simfun	A character string specifying the similarity function to use for RSA, one of "pearson" or "spearman".
nperm	Integer, number of permutations for statistical testing (default: 0).
save_distributions	Logical, whether to save full permutation distributions (default: FALSE).
return_predictions	Logical, whether to return per-observation similarity scores (default: FALSE).

Details

If 'return_predictions' is TRUE, the output of 'run_regional' or 'run_searchlight' will include a 'prediction_table' tibble containing the observation-level RSA scores.

Value

A vector_rsa_model object (S3 class) containing references to the dataset, design, and function parameters.

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