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Releases: JacobSeedorff21/BranchGLM

Version 3.0.1

28 Sep 16:17
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Adding reference to variable importance paper.

Version 3.0.0

20 Aug 22:58
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Introducing a new way to calculate variable importance for L0-penalized regression. Also introducing some new stepwise methods for variable selection.

Version 2.1.6

12 Jun 00:15
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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

08 Apr 02:02
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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

27 Jan 18:40
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Updating all documentation, improving tests, fixing some bugs, and improving consistency between fitting methods

Version 2.1.3

06 Dec 21:55
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Adding cols argument to plot.BranchGLMVS to control the colors used, improving predict and coef functions, and deprecating fit.

Version 2.1.2

31 Aug 00:48
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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

14 May 16:52
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Adding new arguments to VariableSelection, plotCI and plot.BranchGLMVS functions.

Version 2.1.0

04 Mar 18:11
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Adding confidence intervals for regression models and fixing bugs.

Version 2.0.1

22 Nov 22:47
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Fixing bugs in VariableSelection function and adding addLines argument to plot.summaryBranchGLMVS function.