mwc-probability 2.2.0 → 2.3.0

raw patch · 3 files changed

+44/−25 lines, 3 files

Files

• CHANGELOG +26/−23
• mwc-probability.cabal +3/−2
• src/System/Random/MWC/Probability.hs +15/−0

@@ -1,33 +1,36 @@-	# Changelog+# Changelog -	- 2.2.0 (2020-01-29)-	* Adds the Chinese Restaurant Process (crp).+- 2.3.0 (2020-05-02)+  * Adds the discrete distribution (like categorical, but with supplied+    support). -	- 2.1.0 (2019-07-23)-	* Generalises 'categorical' and 'multinomial' to take things proportional to-	  probabilities, rather than probabilities proper.+- 2.2.0 (2020-01-29)+  * Adds the Chinese Restaurant Process (crp). -	- 2.0.4 (2018-06-30)-	* Clean up docs and add some additional usage information.-	* Split the existing Student t distribution into 'student' and its-	  generalised variant, 'gstudent'.+- 2.1.0 (2019-07-23)+  * Generalises 'categorical' and 'multinomial' to take things proportional to+    probabilities, rather than probabilities proper. -	- 2.0.3 (2018-05-09)-	* Add inverse Gaussian (Wald) distribution+- 2.0.4 (2018-06-30)+  * Clean up docs and add some additional usage information.+  * Split the existing Student t distribution into 'student' and its+    generalised variant, 'gstudent'. -	- 2.0.2 (2018-01-30)-	* Add negative binomial distribution+- 2.0.3 (2018-05-09)+  * Add inverse Gaussian (Wald) distribution -	- 2.0.1 (2018-01-30)-	* Add Normal-Gamma and Pareto distributions+- 2.0.2 (2018-01-30)+  * Add negative binomial distribution -	- 2.0.0 (2018-01-29)-	* Add Laplace and Zipf-Mandelbrot distribution-	* Rename `isoGauss` to `isoNormal` and `standard` to `standardNormal` to-	  uniform naming scheme.-	* Divide Haddock in sections+- 2.0.1 (2018-01-30)+  * Add Normal-Gamma and Pareto distributions -	- 1.3.0 (2016-12-04)-	* Generalize a couple of samplers to use Traversable rather than lists.+- 2.0.0 (2018-01-29)+  * Add Laplace and Zipf-Mandelbrot distribution+  * Rename `isoGauss` to `isoNormal` and `standard` to `standardNormal` to+    uniform naming scheme.+  * Divide Haddock in sections +- 1.3.0 (2016-12-04)+  * Generalize a couple of samplers to use Traversable rather than lists. 

@@ -1,5 +1,5 @@ name:                mwc-probability-version:             2.2.0+version:             2.3.0 homepage:            http://github.com/jtobin/mwc-probability license:             MIT license-file:        LICENSE@@ -8,7 +8,8 @@ category:            Math build-type:          Simple cabal-version:       >= 1.10-tested-with:         GHC == 8.0.2, GHC == 8.2.2 , GHC == 8.4.2, GHC == 8.6.5+tested-with:         GHC == 8.0.2, GHC == 8.2.2 , GHC == 8.4.2, GHC == 8.6.5,+                     GHC == 8.8.3 synopsis:            Sampling function-based probability distributions. description: 

@@ -83,6 +83,7 @@   , discreteUniform   , zipf   , categorical+  , discrete   , bernoulli   , binomial   , negativeBinomial@@ -425,6 +426,20 @@     [x] -> return x     _   -> error "mwc-probability: invalid probability vector" {-# INLINABLE categorical #-}++-- | A categorical distribution defined by the supplied support.+--+--   Note that the supplied probabilities should be non-negative, but are not+--   required to sum to one.+--+--   >>> samples 10 (discrete [(0.1, "yeah"), (0.9, "nah")]) gen+--   ["yeah","nah","nah","nah","nah","yeah","nah","nah","nah","nah"]+discrete :: (Foldable f, PrimMonad m) => f (Double, a) -> Prob m a+discrete d = do+  let (ps, xs) = unzip (F.toList d)+  idx <- categorical ps+  pure (xs !! idx)+{-# INLINABLE discrete #-}  -- | The Zipf-Mandelbrot distribution. --