Changes in 0.5: * Clark Gaebel added Monoid and NFData instances to Summary types * Clark Gaebel added liftMCT to the export list * Casper Holmgreen fixed bug in Data.Summary.Bool Show instance * Gábor Lipták added test target to cabal Changes in 0.4.3: * New cabal test use: cabal configure --enable-tests --enable-library-coverage Changes in 0.4.2: * gliptak added compile fixes for ghc 7.4 * Joyn Tyree added compile fixes for ghc 7.2 Changes in 0.4.1: * Get project to compile with ghc7. Changes in 0.4: * Felipe Lessa added applicative instances to GSL's MC and MCT. * Felipe Lessa added many distributions: beta, logistic, Pareto, Weibull, gamma, multinomial and Dirichlet distributions are now available. * Change argument order of subset sampling functions. * Add weighted sampling without replacement. Changes in 0.3.1: * Change upper bound on vector dependency. Changes in 0.3: * Add strict versions of sampleSubset, sampleIntSubset, and shuffleInt. * Port to vector-0.6.0. * Add Exponential and Levy alpha-Stable distributions. * Add Summary.Bool for indicators. * Move Summary to Data.Summary * Introduce `repeatMC`, which produces an infinite (lazy) stream of values, and `replicateMC`, which produces a lazy list of specified length. * Remove `repeatMC/repeatMCWith`. * Build fix for 6.8.2 from Robert Gunst. * The function `sample`, `sampleWithWeights`, `sampleSubset`, and `shuffle` no longer require that you explicitly pass in the length. * The pure RNG is now a newtype, so you can't use the functions from GLS.Random.Gen on it anymore. * The internals of the monad have been cleaned up. IO is used internally instead of `seq` calls and `unsafePerformIO` everywhere. This results in a modest performance boost. Changes in 0.2: * More general type class, MonadMC, which allows all the functions to work in both MC and MCT monads. * Functions to sample from discrete distributions. * Functions to sample subsets