commit 7610014d89306c99cb1ea9c8a866f83d71360405
parent c1f935cdd10d054b41c74b9c6d7ed885712b9b9e
Author: Jared Tobin <jared@jtobin.ca>
Date: Tue, 6 Oct 2015 17:04:23 +1300
Update Travis stuff.
Diffstat:
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.
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+
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.
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+
Includes Functor, Applicative, Monad, and MonadTrans instances.
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Examples
--------
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Transform a distribution's support while leaving its density structure
invariant:
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-- uniform over [0, 1] to uniform over [1, 2]
succ <$> uniform