Changelog

Source: NEWS.md

neuroSCC 1.0.1

• 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

CRAN release: 2025-03-27

• First CRAN Release.
• Additional_repositories included using drat
• Reduced computation times for most time-consuming examples

neuroSCC 0.17.0 (25-03-25)

• Everything is working. Check and Check –as–CRAN also working with no errors or notes.

neuroSCC 0.16.0 (24-03-25)

• Webpage and Vignettes are already working.

neuroSCC 0.15.0 (21-03-25)

• 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.

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