Version 2.0.0

The VariableSelection function can now find the best k models according to the desired metric. Additional functions were added to help work with and visualize the results from VariableSelection when finding multiple best models.

Version 1.3.2

Slightly speeding up variable selection with branch and bound methods. Also fixing bug when using gamma regression when performing variable selection.

Version 1.3.1

The VariableSelection function should now properly handle interaction terms

Version 1.3.0

Introducing 2 new branch and bound methods which can sometimes be much faster than the original branch and bound method.

Version 1.2.0

Adding BranchGLM.fit and fixing bugs.

Version 1.1.3

Fixing number of observations reported by VariableSelection function in the presence of missing values.

Version 1.1.2

Fitting process for large models has been speed up and some small bugs have been fixed.

Version 1.1.1

Fixed some bugs