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pareto Changelog
================
Here you can see the full list of changes between each pareto release.
Version 0.3
-----------
Released on March 29th, 2016
- 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.
Version 0.2
-----------
Released on July 13th, 2013
- 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 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.
Version 0.1
-----------
Initial release, released on June 11th, 2013