neuroSCC-package {neuroSCC}R Documentation

Wrappers for Neuroimaging Functional Data Preparation and SCC Analysis

Description

The neuroSCC package provides tools to preprocess and structure neuroimaging data for functional data analysis using Simultaneous Confidence Corridors (SCCs). It wraps external packages to prepare data from PET images, extract contours, generate meshes, and evaluate regions of statistical significance.

The methods implemented support both group comparisons and single-subject vs. group inference, following the methodology described in Wang et al. (2020) and the author's PhD thesis.

Details

This package serves as a bridge between neuroimaging file formats (e.g., NIfTI) and advanced statistical tools like ImageSCC::scc.image. It includes the following key components.

Author(s)

Maintainer: Juan A. Arias Lopez juanantonio.arias.lopez@usc.es (ORCID) [copyright holder]

Other contributors:

See Also

neuroCleaner, databaseCreator, getPoints


[Package neuroSCC version 1.0.0 Index]