mcmc-types

commit e201ffe23701ef2250e6b2f8c57ce5f2ac1972dd
parent a64c23d44e41f344b2cd9dae96b5f057e7f70cc7
Author: Jared Tobin <jared@jtobin.ca>
Date:   Tue,  6 Oct 2015 21:50:30 +1300

Update cabal file.

Diffstat:
M
mcmc-types.cabal
 | 
8
+++++---

1 file changed, 5 insertions(+), 3 deletions(-)
diff --git a/mcmc-types.cabal b/mcmc-types.cabal
@@ -10,13 +10,15 @@ build-type:          Simple
 cabal-version:       >= 1.18
 description:
   Common types for implementing Markov Chain Monte Carlo (MCMC) algorithms.
-
+  .
   An instance of an MCMC problem can be characterized by the following:
-
+  .
   * A /target distribution/ over some parameter space
+  .
   * A /parameter space/ for a Markov chain to wander over
+  .
   * A /transition operator/ to drive the Markov chain
-
+  .
   /mcmc-types/ provides the suitably-general 'Target', 'Chain', and
   'Transition' types for representing these things respectively.