BAS 1.6.6

New Features

• Added support for Gamma regression for bas.glm, with unit tests and
  example (Code contributed by @betsyberrson)

Minor Improvements and Fixes

• added error if supplied initial model for the bas.lm sampling methods "MCMC" and "MCMC+BAS" had prior probability zero.

• fixed printing problems as identified via checks

• fixed indexing error for bas.lm and method = "MCMC+BAS" as bas.lm using method = "MCMC+BAS" crashed with a segmentation fault if bestmodel is not NULL or the null model. GitHub issue #69

• fixed error in predict.bas with se.fit=TRUE if there is only one predictor. GitHub issue #68 reported by @AleCarminati
  added unit test to test-predict.R

• Fixed error in coef for bas.glm objects when using a betaprior of class
  IC, including AIC and BIC Github issue #65

• Fixed error when using Jeffreys prior in bas.glm with the
  include.always option and added unit test in test-bas-glm.R.
  Github issue #61

• Fixed error for extracting coefficients from the median probability model
  when a formula is passed as an object rather than a literal, and added
  a unit test to test-coefficients.R Github issues #39 and #56