NEWS

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TIGERr 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.

TIGERr 1.0.1

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

TIGERr 1.0.0 (2022-01-06)

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

TIGERr 0.1.0 (2021-09-02)

• Original release