bayesAB 0.7.0

Major Additions

• added banditize and deployBandit to turn your bayesTest object into a Bayesian multi-armed bandit and deploy as a JSON API
  respectively.
• Added programmatic capabilities on top of existing interactive uses for plot generic function
  • You can now assign plot(bayesTestObj) to a variable and not have it automatically plot.
• Added quantile summary of calculated posteriors to the output of summary.bayesTest
• Added Posterior Expected Loss to output of summary.bayesTest
  • This is useful to know when to stop your Bayesian AB Test
  • Supports the risk of choosing 'B' over 'A' (ordering is important) and makes more sense if A > B currently in the test

Minor Tweaks/Fixes

• outputs from plot generics are now explicitly ggplot objects and can be modified as such
  • You can input your own titles/axis labels/etc if the defaults don't fit your use case