R: Bridging Simultaneous Confidence Corridors and PET Neuroimaging

# Bridging Simultaneous Confidence Corridors and PET Neuroimaging

## Documentation for package ‘neuroSCC’ version 1.0.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

neuroSCC-package | Wrappers for Neuroimaging Functional Data Preparation and SCC Analysis
calculateMetrics | Evaluate SCC or SPM Detection Performance
calculateMetricsExample | Precomputed Inputs for SCC vs. SPM Performance Evaluation
databaseCreator | Create a Database of Processed PET Image Data
generatePoissonClones | Generate Synthetic Poisson Clones for PET Data
generatePoissonClonesExample | Example Input for Poisson Clone Generation
getDimensions | Get Dimensions from a Neuroimaging File
getPoints | Extract Significant SCC Points from an SCC Comparison Object
getSPMbinary | Extract SPM-Detected Significant Points from a Binary NIfTI File
matrixCreator | Convert Database to Functional Data Matrix Format
meanNormalization | Mean Normalization for Matrix Data
neuroCleaner | Clean and Load Data from NIfTI Neuroimaging Files
neuroContour | Obtain neuroimaging contours from a NIFTI file
neuroSCC | Wrappers for Neuroimaging Functional Data Preparation and SCC Analysis
plotSCCcomparisonPanel | Plot group means and SCC comparison overlay
plotSCCpanel | Plot SCC bands and mean estimate for a single group
plotValidationPanel | Plot ROI, SCC detections, and SPM detections for validation
processROIs | Process ROI Voxel Data from a NIfTI File
SCCcomp | Example SCC Computation Result
sccOneGroup | Example SCC object for one-group analysis