Changes in version 0.2.0 (2020-04-05)                  

  - break_down function identifies inteactions
  - break_down function supports DALEX explainers
  - break_down function has complexity O(2p) for models without
    interactions, much faster than the old version

                 Changes in version 0.1.6 (2018-06-14)                  

  - broken.default has now the keep_distributions arguments. If TRUE
    then the whole distribution of conditional residuals is remebered
    and avaliable for plotting #17
  - small updates in README.md

                 Changes in version 0.1.5 (2018-04-06)                  

  - small changes in broken.default to make it work with xgboost and
    other non data.frame data
  - broken.lm supports unnormalized coefficients (thanks to Joseph
    Larmarange) just add predict.function = betas #9

                 Changes in version 0.1.4 (2018-02-27)                  

  - broken.default is now model agnostic!
  - broken.ranger is removed since broken.default is much better
  - small fixes in print and plot functions, a new vigniette for model
    agnostic plots

                 Changes in version 0.1.3 (2018-01-29)                  

  - small fixes and submission to CRAN

                        Changes in version 0.1.2                        

  - broken.lm and broken.glm are now supporting interactions (#7)
  - print() and plot() functions are now handling different options for
    rounding via additional arguments digits = 3, rounding_function =
    round (#8)

                        Changes in version 0.1.1                        

  - the baseline argument is added to the broken function (#1)
  - vignettes for lm and glm models are added (#2)

                         Changes in version 0.1                         

  - waterfall like plots and support for lm models
  - waterfall like plots and support for glm models
  - HR dataset added