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neuroSCC  

Bridging Simultaneous Confidence Corridors and PET Neuroimaging
View on CRAN: Click here


Download and install neuroSCC package within the R console
Install from CRAN:
install.packages("neuroSCC")

Install from Github:
library("remotes")
install_github("cran/neuroSCC")

Install by package version:
library("remotes")
install_version("neuroSCC", "1.0.0")



Attach the package and use:
library("neuroSCC")
Maintained by
Juan A. Arias Lopez
[Scholar Profile | Author Map]
First Published: 2025-03-27
Latest Update: 2025-03-27
Description:
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').
How to cite:
Juan A. Arias Lopez (2025). neuroSCC: Bridging Simultaneous Confidence Corridors and PET Neuroimaging. R package version 1.0.0, https://cran.r-project.org/web/packages/neuroSCC. Accessed 09 May. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited neuroSCC R package
View neuroSCC citation profile
Other R packages that neuroSCC depends, imports, suggests or enhances
Complete documentation for neuroSCC
Functions, R codes and Examples using the neuroSCC R package
Full neuroSCC package functions and examples
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