Package: neuroSCC 1.0.0
neuroSCC: 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').
Authors:
neuroSCC_1.0.0.tar.gz
neuroSCC_1.0.0.zip(r-4.5)neuroSCC_1.0.0.zip(r-4.4)neuroSCC_1.0.0.zip(r-4.3)
neuroSCC_1.0.0.tgz(r-4.5-any)neuroSCC_1.0.0.tgz(r-4.4-any)neuroSCC_1.0.0.tgz(r-4.3-any)
neuroSCC_1.0.0.tar.gz(r-4.5-noble)neuroSCC_1.0.0.tar.gz(r-4.4-noble)
neuroSCC_1.0.0.tgz(r-4.4-emscripten)neuroSCC_1.0.0.tgz(r-4.3-emscripten)
neuroSCC.pdf |neuroSCC.html✨
neuroSCC/json (API)
NEWS
| # Install 'neuroSCC' in R: |
| install.packages('neuroSCC', repos = c('https://iguanamarina.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/iguanamarina/neuroscc/issues
Pkgdown site:https://iguanamarina.github.io
- SCCcomp - Example SCC Computation Result
- calculateMetricsExample - Precomputed Inputs for SCC vs. SPM Performance Evaluation
- generatePoissonClonesExample - Example Input for Poisson Clone Generation
functional-data-analysisneuroimaging-analysispositron-emission-tomography
Last updated 2 days agofrom:0a323dc86c. Checks:9 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 28 2025 |
| R-4.5-win | OK | Mar 28 2025 |
| R-4.5-mac | OK | Mar 28 2025 |
| R-4.5-linux | OK | Mar 28 2025 |
| R-4.4-win | OK | Mar 28 2025 |
| R-4.4-mac | OK | Mar 28 2025 |
| R-4.4-linux | OK | Mar 28 2025 |
| R-4.3-win | OK | Mar 28 2025 |
| R-4.3-mac | OK | Mar 28 2025 |
Exports:calculateMetricsdatabaseCreatorgeneratePoissonClonesgetDimensionsgetPointsgetSPMbinarymatrixCreatormeanNormalizationneuroCleanerneuroContourprocessROIs
Dependencies:abindbitopsclicontoureRcpp11data.tabledplyrfansigenericsgeometrygluejsonlitelatticelifecyclelinproglpSolvemagicmagrittrMASSmemiscoro.niftipillarpkgconfigplyrpurrrR6RcppRcppProgressreshaperlangRNiftistringistringrtibbletidyrtidyselectutf8vctrswithryaml
landing_vignette
Rendered fromlanding_vignette.Rmdusingknitr::rmarkdownon Mar 28 2025.Last update: 2025-03-24
Started: 2025-03-17
one_vs_group
Rendered fromone_vs_group.Rmdusingknitr::rmarkdownon Mar 28 2025.Last update: 2025-03-25
Started: 2025-03-17
two_group_comparison
Rendered fromtwo_group_comparison.Rmdusingknitr::rmarkdownon Mar 28 2025.Last update: 2025-03-25
Started: 2025-03-17
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Wrappers for Neuroimaging Functional Data Preparation and SCC Analysis | neuroSCC-package neuroSCC |
| Evaluate SCC or SPM Detection Performance | calculateMetrics |
| Precomputed Inputs for SCC vs. SPM Performance Evaluation | calculateMetricsExample |
| Create a Database of Processed PET Image Data | databaseCreator |
| Generate Synthetic Poisson Clones for PET Data | generatePoissonClones |
| Example Input for Poisson Clone Generation | generatePoissonClonesExample |
| Get Dimensions from a Neuroimaging File | getDimensions |
| Extract Significant SCC Points from an SCC Comparison Object | getPoints |
| Extract SPM-Detected Significant Points from a Binary NIfTI File | getSPMbinary |
| Convert Database to Functional Data Matrix Format | matrixCreator |
| Mean Normalization for Matrix Data | meanNormalization |
| Clean and Load Data from NIfTI Neuroimaging Files | neuroCleaner |
| Obtain and save neuroimaging contours from a NIFTI file | neuroContour |
| Process ROI Voxel Data from a NIfTI File | processROIs |
| Example SCC Computation Result | SCCcomp |
