Break Down Plots are inspired by waterfall plots created by 'xgboostExplainer' package (see < https://github.com/AppliedDataSciencePartners/xgboostExplainer>). The idea behind Break Down Plots it to decompose model prediction for a single observation. Break Down Plots show the contribution of every variable present in the model. Such plots will work for binary classifiers and general regression models.
broken.glmare now supporting interactions (#7)
plot()functions are now handling different options for rounding via additional arguments
digits = 3,
rounding_function = round(#8)
baselineargument is added to the