Bridging Simultaneous Confidence Corridors and PET Neuroimaging R package neuroSCC version 1.0.2 CRAN Task View: MedicalImaging (https://CRAN.R-project.org/view=MedicalImaging) 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'). Software Depends: R (>= 4.2.0) Imports: dplyr, graphics, memisc, oro.nifti, stats, tidyr, utils Suggests: BPST, fields, ggplot2, ImageSCC, knitr, patchwork, rcmdcheck, remotes, rmarkdown, roxygen2 (>= 7.1.0), scales, Triangulation, viridis Juan A. Arias Lopez <iguanamarina@protonmail.com> Comprehensive R Archive Network (CRAN) Juan A. Arias Lopez [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-3355-6393>), Virgilio Gomez Rubio [rev] (ORCID: <https://orcid.org/0000-0002-4791-3072>), Pablo Aguiar Fernandez [ths] (ORCID: <https://orcid.org/0000-0002-7322-2195>), Andrew Haddon Kemp [ths] (ORCID: <https://orcid.org/0000-0003-1146-3791>) MIT + file LICENSE (https://CRAN.R-project.org/package=neuroSCC/LICENSE) 2026-04-18 application/tgz https://CRAN.R-project.org/package=neuroSCC doi:10.32614/CRAN.package.neuroSCC