0.3

• Added MLE for 'Gamma' distribution.
• Added log-probability and log-density to all distributions.
• Added a method for sampling a single value from a distribution, see
  'BaseDistribution.random'.
• Changed the observation label in 'DiscreteDistribution' from ~n to ~k.
• Bumped minimum required ocaml-gsl version to 1.14.0 and dropped custom
  'Combi' stubs.

0.2

• Added summary statistics, see 'Sample.Summary' module. Thanks to Nicholas
  Lucaroni!
• Added MLE for distributions which have a closed-form MLE. Thanks to Nicholas
  Lucaroni, once again! For distributions, which don't have a closed-form
  solution, we currently provide method of moments estimates. Exceptions are:
  'Cauchy' and 'Hypergeomteric' distributions.
• Added Pearson product-moment correlation and autocorrelation and Spearman
  rank correlation.
• Added Kolmogorov-Smirnov test for goodness of fit and two-sample test.
• Added function, which adjusts P-values for multiple comparisons. Currently,
  two procedures are supported: Benjamini-Hochberg, which controls for FDR and
  Holm-Bonferroni, which controls for FWER.
• Abstracted RV type into '*Distribution.elt'.
• Added GSL wrappers for computing sample skewness and kurtosis.
• Added more distribution features: skewness and kurtosis, see
  'Distributions.Features' signature.
• Added 'LogNormal', 'Bernoulli', 'Logistic' and 'Categorical' distributions.
• Added a basic test suite against R and SciPy, thanks to Francois Berenger
  for the reminder.

0.1

Initial release