Changes in version 0.2.0 (2019-07-04)                  

  - general refactoring which is unfortunately not downwards compatible
  - R helper functions to obtain ESS and samples from skeleton
  - transposed dataX matrix in logistic regression: now the different
    rows of dataX represent different observations
  - allow user to provide starting direction and custom reference points
    for control variates (ZigZagLogistic)
  - BPS and Zig-Zag routinesStudent distributions

                 Changes in version 0.1.6 (2018-04-30)                  

  - Allows for fixed time horizon (in additional to fixed number of
    iterations)
  - Preprocessing of input to logistic regression disabled. Adding
    intercept to design matrix and possible recentering is up to user.

                 Changes in version 0.1.5 (2018-04-12)                  

  - Implements Bouncy Particle Sampler for Gaussian target
  - Allows to specify starting value for ZigZagGaussian

                 Changes in version 0.1.4 (2017-10-28)                  

  - Changed from n_epochs argument to n_iter, representing number of
    iterations, as this is more flexible. This update is not downwards
    compatible, but if you want to run ZigZagLogistic when subsampling
    (with or without control variates) with n_epochs gradient
    evaluations, simply pick n_iter = n_epochs * (number of
    observations).
  - Resolved ambiguities in overloaded functions which previously
    resulted in a compile error on Solaris.

                 Changes in version 0.1.3 (2017-10-17)                  

  - Corrected arXiv reference

                        Changes in version 0.1.1                        

  - This is the first version, which introduces the R functions
    ZigZagLogistic and ZigZagGaussian.