mwc-probability

Sampling function-based probability distributions.
Log | Files | Refs | README | LICENSE

commit 7610014d89306c99cb1ea9c8a866f83d71360405
parent c1f935cdd10d054b41c74b9c6d7ed885712b9b9e
Author: Jared Tobin <jared@jtobin.ca>
Date:   Tue,  6 Oct 2015 17:04:23 +1300

Update Travis stuff.

Diffstat:
MREADME.md | 12++++++------
1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/README.md b/README.md @@ -1,22 +1,22 @@ -# mwc-probability +# mwc-probability [![Build Status](https://secure.travis-ci.org/jtobin/mwc-probability.png)](http://travis-ci.org/jtobin/mwc-probability) Sampling function-based probability distributions. A simple probability distribution type, where distributions are characterized by sampling functions. - + This implementation is a thin layer over `mwc-random`, which handles RNG state-passing automatically by using a `PrimMonad` like `IO` or `ST s` under the hood. - + Includes Functor, Applicative, Monad, and MonadTrans instances. - + Examples -------- - + Transform a distribution's support while leaving its density structure invariant: - + -- uniform over [0, 1] to uniform over [1, 2] succ <$> uniform