probable 0.1.2 → 0.1.3
raw patch · 2 files changed
+10/−10 lines, 2 filesdep ~basedep ~mtldep ~mwc-random
Dependency ranges changed: base, mtl, mwc-random, primitive, statistics, transformers, vector
Files
- probable.cabal +5/−5
- src/Math/Probable/Distribution.hs +5/−5
probable.cabal view
@@ -1,5 +1,5 @@ name: probable-version: 0.1.2+version: 0.1.3 synopsis: Easy and reasonably efficient probabilistic programming and random generation description: Easy and reasonably efficient probabilistic programming and random generation .@@ -65,7 +65,7 @@ category: Math, Statistics build-type: Simple cabal-version: >=1.10-tested-with: GHC == 7.6.3, GHC == 7.8.2, GHC == 7.10.1+tested-with: GHC == 8.0.2, GHC == 8.2.2 extra-source-files: bench/*.hs, examples/*.hs, README.md@@ -80,11 +80,11 @@ Math.Probable.Distribution.Finite, Math.Probable.Random other-modules:- build-depends: base >=4.5 && <4.10,- statistics >= 0.10,+ build-depends: base >=4.5 && <5,+ statistics >= 0.14, vector >= 0.10, mwc-random >= 0.10,- primitive,+ primitive >= 0.6, mtl, transformers >= 0.3
src/Math/Probable/Distribution.hs view
@@ -30,7 +30,7 @@ import Math.Probable.Distribution.Finite import Math.Probable.Random -import Statistics.Distribution (ContGen, DiscreteGen, genContVar, genDiscreteVar)+import Statistics.Distribution (ContGen, DiscreteGen, genContVar, genDiscreteVar, fromSample) import Statistics.Distribution.Beta import Statistics.Distribution.CauchyLorentz import qualified Statistics.Distribution.ChiSquared as Chi@@ -245,8 +245,8 @@ -- > , 1.7650436484843248 ] normalFromSample :: PrimMonad m => Sample -- ^ sample- -> RandT m Double-normalFromSample = continuous . N.normalFromSample+ -> Maybe (RandT m Double)+normalFromSample s = continuous <$> (fromSample s :: Maybe N.NormalDistribution) -- | Exponential distribution (from @Statistics.Distribution.Exponential@) -- @@ -269,8 +269,8 @@ -- > , 0.8891555734786789 ] exponentialFromSample :: PrimMonad m => Sample- -> RandT m Double-exponentialFromSample = continuous . E.exponentialFromSample+ -> Maybe (RandT m Double)+exponentialFromSample s = continuous <$> (fromSample s :: Maybe E.ExponentialDistribution)