NEWS
neuroSCC 1.0.2 (2026-04-18)
- Added three new visualization functions for SCC workflows:
plotSCCpanel() for one-group SCC band visualization
plotSCCcomparisonPanel() for two-group SCC comparison panels
plotValidationPanel() for SCC vs SPM validation plots
- Added new example dataset
sccOneGroup
- Expanded package visualization capabilities for publication-ready figures
neuroSCC 1.0.1 (2026-03-25)
- Removed dependency on
contoureR, which is no longer available on CRAN.
- Reimplemented contour extraction using base R (
grDevices::contourLines).
- Simplified
neuroContour() interface by removing the levels argument.
- Updated documentation, examples, and vignettes to reflect the new behavior.
neuroSCC 1.0.0 (2025-03-27)
- First CRAN Release.
- Additional_repositories included using drat
- Reduced computation times for most time-consuming examples
neuroSCC 0.17.0
- Everything is working. Check and Check --as--CRAN also working with no errors or notes.
neuroSCC 0.16.0
- Webpage and Vignettes are already working.
neuroSCC 0.15.0
- First final version with webpage deployed
neuroSCC 0.14.0
- Function Completion:
generatePoissonClones() already working.
calculateMetrics() already working.
getSPMbinary() included for SPM processing.
neuroSCC 0.13.0
- First Complete Release with basic functioning achieved.
neuroSCC 0.12.0
Major Changes
- Function Integration:
- Included
plotSCC() for visualization.
- Included
generatePoissonClones() for 1vsGroup setups.
- Included
calculateMetrics() for performance estimation.
Major Changes
-
Function Enhancements:
- Introduced the
processROIs() function for efficient Region of Interest (ROI) processing.
- Updated
getPoints() to improve the extraction of significant points from Simultaneous Confidence Corridors (SCCs).
-
Documentation:
- Comprehensive documentation added for all functions, aligning with CRAN standards to facilitate user understanding and package integration.
Minor Improvements
- Error Handling:
- Implemented robust error handling across multiple functions to enhance package stability and user experience.
neuroSCC 0.10-0
- Function Addition:
- Added
databaseCreator(), enabling the creation of structured databases from neuroimaging data.
neuroSCC 0.9-0
- Function Addition:
- Introduced
matrixCreator(), facilitating the conversion of databases into matrix formats suitable for analysis.
neuroSCC 0.8-0
- Function Addition:
- Implemented
meanNormalization(), allowing for the normalization of data matrices by their mean values.
neuroSCC 0.7-0
- Function Integration:
- Integrated additional raw functions extracted directly from MASTERSCRIPTS to expand package capabilities.
neuroSCC 0.6-0
- Function Integration:
- Continued incorporation of functions from MASTERSCRIPTS, enhancing data processing workflows.
neuroSCC 0.5-0
- Function Development:
- Included initial versions of new functions to broaden the package's analytical tools.
neuroSCC 0.4-0
- Tweaks:
- Applied minor tweaks and adjustments to existing functions to improve performance and reliability.
neuroSCC 0.3-0
- Testing and Updates:
- Conducted multiple tests to validate function performance.
- Updated
neuroCleaner() for enhanced data cleaning processes.
neuroSCC 0.2-0
- Documentation and Function Addition:
- Added
README to provide an overview and usage instructions.
- Introduced the initial version of
neuroCleaner() for preprocessing neuroimaging data.
- Attempted to include sample data; however, due to issues, it was subsequently removed.
neuroSCC 0.1-0
- Initial Commit:
- Established the foundational structure of the package, setting the groundwork for subsequent development.