Changes in version 0.0.1                        

  - ABC
      - auto calibrate kernel epsilon (? and sample size) on ESS in
        adaptive fits
  - Migrate
      - scoring utilities from ggoutbreak
      - use of empirical CDF in ggoutbreak
  - Empirical distributions
      - display splines of empirical fits
      - update splines when using empirical as a link function
      - see:
        (https://en.wikipedia.org/wiki/Copula_(statistics)#Gaussian_copula)
      - and: (https://en.wikipedia.org/wiki/Sigmoid_function)
  - dist_fns extensions:
      - convolution
      - skew

  - ai4ci r-universe release.
  - ABC estimators with rejection, SMC or adaptive sampling
      - distance functions for Wasserstein and RMSE.
      - modern support for parallel simulation execution using furrr
      - posterior visualisation and resampling
      - convergence statistics and visualisation
  - Statistic functions wrapper dist_fns S3 class
      - support for distributions as dataframe column
      - empirical, transformed and mixture distributions in unified
        framework
      - distribution plotting
  - Empirical distributions
      - from weighted data or from cumulative probabilities
      - link function support for constraints on support
      - monotonic spline based fits in Q-Q (cdf) or logit-Z (data) space
        with support for q, p, d, r functions.
  - standalone distribution functions (migrated from ggrrr)
      - e.g. re-parametrisations of standard distributions.
      - constrained gamma distribution
      - logit normal distribution
  - S3 class for priors
      - formula based constructor
      - print methods
      - search library paths for distributions.
      - constraints