Changes in version 0.1.3 (2026-03-04)                  

Algorithm Improvements

  - Updated the binning resolution limit formula to N_max = Range / (2 *
    Min_Resolution) to prevent the "comb effect" (sampling artifacts).
    This change aligns the R implementation with the author's reference
    code.
  - The n_max parameter in sshist() is now strictly bounded by the
    resolution limit to prevent overfitting.

Documentation

  - Fixed formatting in the DESCRIPTION file.
  - Updated the faithful dataset examples in README.md to reflect the
    corrected optimal bin calculations (N changed from 37 to 21).
  - Added CRAN download badges to README.md.
  - Expanded reference links in README.md to include the original
    toolboxes and GitHub repositories from the algorithm's authors.

                 Changes in version 0.1.2 (2026-02-13)                  

CRAN Submission Fixes

  - Fixed DESCRIPTION file reference formatting:
    
      - Added author names (Shimazaki and Shinomoto) to citation
      - Wrapped 'C++' in single quotes to comply with CRAN formatting
        requirements

  - Improved documentation:
    
      - Added \value tags to all exported S3 method documentation files
      - Added comprehensive descriptions of return values and side
        effects for plot and print methods
      - Updated print methods to return objects invisibly following R
        best practices
      - Clear old images

  - Fixed vignette:
    
      - Corrected graphical parameter handling in introduction.Rmd
      - Now properly stores and restores user's par() settings

Internal Changes

  - Added invisible(x) return statements to print.sshist() and
    print.sshist_2d() methods

                 Changes in version 0.1.1 (2026-02-12)                  

Cosmetic fixes

  - Fix installation links at Readme.Rmd.

                        Changes in version 0.1.0                        

  - Initial CRAN submission.
  - Added sshist() for 1D optimization (C++ optimized).
  - Added sshist_2d() for 2D optimization.
  - Added support for ggplot2 integration in examples.