Version 2.1.6

Adding a basic plot method for BranchGLM objects and fixing a bug in the calculation of the log-likelihood for gaussian regression models with an odd number of observations.

Version 2.1.5

Fixing a bug in parallel computation for the branch and bound algorithms. Also updated stepwise variable selection algorithms to return the whole search path and deprecated maxsize argument

Version 2.1.4

Updating all documentation, improving tests, fixing some bugs, and improving consistency between fitting methods

Version 2.1.3

Adding cols argument to plot.BranchGLMVS to control the colors used, improving predict and coef functions, and deprecating fit.

Version 2.1.2

Adding some new arguments to plot.BranchGLMVS and fixing a bug in the same function. Also fixing a bug in the confint.BranchGLM function

Version 2.1.1

Adding new arguments to VariableSelection, plotCI and plot.BranchGLMVS functions.

Version 2.1.0

Adding confidence intervals for regression models and fixing bugs.

Version 2.0.1

Fixing bugs in VariableSelection function and adding addLines argument to plot.summaryBranchGLMVS function.

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.