mwc-probability

Sampling function-based probability distributions.
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commit edcb2acbb49eadfa44c1792545ed6291a2cea5b7
parent 52566ae09ce6d177b9a291f557014800c4a01965
Author: Jared Tobin <jared@jtobin.ca>
Date:   Sat, 30 Jun 2018 17:49:37 +1200

Minor version bump.

Diffstat:
MCHANGELOG | 12+++++++++---
Mmwc-probability.cabal | 6+++---
2 files changed, 12 insertions(+), 6 deletions(-)

diff --git a/CHANGELOG b/CHANGELOG @@ -1,8 +1,13 @@ # Changelog + - 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'. + - 2.0.3 (2018-05-09) * Add inverse Gaussian (Wald) distribution - + - 2.0.2 (2018-01-30) * Add negative binomial distribution @@ -11,9 +16,10 @@ - 2.0.0 (2018-01-29) * Add Laplace and Zipf-Mandelbrot distribution - * Rename `isoGauss` to `isoNormal` and `standard` to `standardNormal` to uniform naming scheme + * 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. diff --git a/mwc-probability.cabal b/mwc-probability.cabal @@ -1,5 +1,5 @@ name: mwc-probability -version: 2.0.3 +version: 2.0.4 homepage: http://github.com/jtobin/mwc-probability license: MIT license-file: LICENSE @@ -25,11 +25,11 @@ description: invariant: . > -- uniform over [0, 1] to uniform over [1, 2] - > succ <$> uniform + > fmap succ uniform . Sequence distributions together using bind: . - > -- a beta-binomial conjugate distribution + > -- a beta-binomial compound distribution > beta 1 10 >>= binomial 10 . Use do-notation to build complex joint distributions from composable,