commit 66b12a36f8dde6457ef3ee487d465dac11aed6cd
parent 035fbe483c48f5f2077cf78f1f8afb8ae6c620ce
Author: Jared Tobin <jared@jtobin.ca>
Date: Thu, 2 Apr 2015 17:27:46 +1000
Update description.
Diffstat:
1 file changed, 22 insertions(+), 5 deletions(-)
diff --git a/measurable.cabal b/measurable.cabal
@@ -2,7 +2,7 @@ name: measurable
version: 1.0.0.0
license: BSD3
license-file: LICENSE
-copyright: (c) Jared Tobin 2013 - 2014.
+copyright: (c) Jared Tobin 2013 - 2015.
author: Jared Tobin
maintainer: jared@jtobin.ca
stability: Experimental
@@ -10,11 +10,28 @@ category: Math
homepage: http://github.com/jtobin/measurable
bug-reports: http://github.com/jtobin/measurable/issues
build-type: Simple
-cabal-version: >=1.10
-synopsis: Basic measure wrangling.
+cabal-version: >=1.18
+synopsis: A shallowly-embedded DSL for basic measure wrangling.
description:
- Various types, instances, and combinators that make it easy to play with
- measures.
+ @measurable@ is a simple shallowly-embedded DSL for dealing with measures.
+
+ It adds a @Measure@ type as a synonym for a standard continuation type with
+ a restricted output type and no @callCC@ implementation.
+
+ You can construct measures from samples, density functions, or even sampling
+ functions using a monad transformer @MeasureT@ type.
+
+ Construct image measures by @fmap@-ing measurable functions over them, or
+ create new measures from existing ones by seamless measure arithmetic provided
+ by a simple @Num@ instance. Create measures from graphs of other measures
+ using the @Monad@ instance and do-notation.
+
+ Query measures by integrating meaurable functions against them. Extract
+ moments, cumulative density functions, or probabilities.
+
+ Caveat: while fun to play with, and rewarding to see how measures fit
+ together, measure operations as nested integrals are exponentially complex.
+ Don't expect them to scale very far!
source-repository head
type: git
