Bridging Simultaneous Confidence Corridors and PET Neuroimaging

Tools for the structured processing of PET neuroimaging data in preparation for the estimation of Simultaneous Confidence Corridors (SCCs) for one-group, two-group, or single-patient vs group comparisons. The package facilitates PET image loading, data restructuring, integration into a Functional Data Analysis framework, contour extraction, identification of significant results, and performance evaluation. It bridges established packages (e.g., 'oro.nifti') with novel statistical methodologies (e.g., 'ImageSCC') and enables reproducible analysis pipelines, including comparison with Statistical Parametric Mapping ('SPM').


Reference manual

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install.packages("neuroSCC")

1.0.2 by Juan A. Arias Lopez, 6 months ago


https://iguanamarina.github.io/neuroSCC/, https://github.com/iguanamarina/PhD-2023-SCC-vs-SPM-Group-vs-Group, https://github.com/iguanamarina/PhD-2024-SCC-vs-SPM-SinglePatient-vs-Group


Report a bug at https://github.com/iguanamarina/neuroSCC/issues


Browse source code at https://github.com/cran/neuroSCC


Authors: Juan A. Arias Lopez [aut, cre, cph] (ORCID: , Virgilio Gomez Rubio [rev] (ORCID: , Pablo Aguiar Fernandez [ths] (ORCID: , Andrew Haddon Kemp [ths] (ORCID:


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports dplyr, graphics, memisc, oro.nifti, stats, tidyr, utils

Suggests BPST, fields, ggplot2, ImageSCC, knitr, patchwork, rcmdcheck, remotes, rmarkdown, roxygen2, scales, Triangulation, viridis


See at CRAN