Changes in version 1.0.2                        

  - Added set_seed option to the run_TIGER() function for reproducible
    results.
  - Pearson correlation-based feature selection now supports parallel
    computing to speed up large datasets and prevent memory issues
    caused by cor().
  - Now notifies when a metabolite lacks enough observations to compute
    correlation during feature selection.

                        Changes in version 1.0.1                        

  - Support passing values to the argument use in cor() to control how
    to deal with missing values when computing correlation.

                 Changes in version 1.0.0 (2022-01-06)                  

  - Updated reference information.
  - Fixed the issues caused by dependencies.

                 Changes in version 0.1.0 (2021-09-02)                  

  - Original release