statistics: A library of statistical types, data, and functions
This library provides a number of common functions and types useful in statistics. Our focus is on high performance, numerical robustness, and use of good algorithms. Where possible, we provide references to the statistical literature.
The library's facilities can be divided into three broad categories:
Working with widely used discrete and continuous probability distributions. (There are dozens of exotic distributions in use; we focus on the most common.)
Computing with sample data: quantile estimation, kernel density estimation, bootstrap methods, and autocorrelation analysis.
Random variate generation under several different distributions.
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| Versions [RSS] | 0.1, 0.2, 0.2.1, 0.2.2, 0.3, 0.3.1, 0.3.2, 0.3.3, 0.3.4, 0.3.5, 0.3.6, 0.4.0, 0.4.1, 0.5.0.0, 0.5.1.0, 0.5.1.1, 0.5.1.2, 0.6.0.0, 0.6.0.1, 0.6.0.2, 0.7.0.0, 0.8.0.0, 0.8.0.1, 0.8.0.2, 0.8.0.3, 0.8.0.4, 0.8.0.5, 0.9.0.0, 0.10.0.0, 0.10.0.1, 0.10.1.0, 0.10.2.0, 0.10.3.0, 0.10.3.1, 0.10.4.0, 0.10.4.1, 0.10.5.0, 0.10.5.1, 0.10.5.2, 0.11.0.0, 0.11.0.1, 0.11.0.2, 0.11.0.3, 0.12.0.0, 0.13.1.0, 0.13.1.1, 0.13.2.0, 0.13.2.1, 0.13.2.2, 0.13.2.3, 0.13.3.0, 0.14.0.0, 0.14.0.1, 0.14.0.2, 0.15.0.0, 0.15.1.0, 0.15.1.1, 0.15.2.0, 0.16.0.0, 0.16.0.1, 0.16.0.2, 0.16.1.0, 0.16.1.1, 0.16.1.2, 0.16.2.0, 0.16.2.1, 0.16.3.0, 0.16.4.0 (info) |
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| Dependencies | base (<5), erf , mwc-random (>=0.5.0.0), primitive , time , vector (>=0.5), vector-algorithms (>=0.3 && <0.4) [details] |
| License | BSD-3-Clause |
| Copyright | 2009, 2010 Bryan O'Sullivan |
| Author | Bryan O'Sullivan <bos@serpentine.com> |
| Maintainer | Bryan O'Sullivan <bos@serpentine.com> |
| Revised | Revision 1 made by HerbertValerioRiedel at 2015年01月10日T21:25:20Z |
| Category | Math, Statistics |
| Home page | http://darcs.serpentine.com/statistics |
| Uploaded | by BryanOSullivan at 2010年03月29日T22:56:39Z |
| Distributions | Arch:0.16.4.0, Debian:0.15.2.0, Fedora:0.16.3.0, FreeBSD:0.13.2.3, LTSHaskell:0.16.4.0, NixOS:0.16.3.0, Stackage:0.16.4.0 |
| Reverse Dependencies | 66 direct, 3725 indirect [details] |
| Downloads | 123030 total (238 in the last 30 days) |
| Rating | 2.25 (votes: 2) [estimated by Bayesian average] |
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| Status | Docs uploaded by user Build status unknown [no reports yet] |
Readme for statistics-0.5.1.0
[back to package description]Statistics: efficient, general purpose statistics ------------------------------------------------- This package provides the Statistics module, a Haskell library for working with statistical data in a space- and time-efficient way. Where possible, we give citations and computational complexity estimates for the algorithms used. Performance ----------- This library has been carefully optimised for high performance. To obtain the best runtime efficiency, it is imperative to compile libraries and applications that use this library using a high level of optimisation. Suggested GHC options: -O -fvia-C -funbox-strict-fields To illustrate, here are the times (in seconds) to generate and sum 250 million random Word32 values, on a laptop with a 2.4GHz Core2 Duo P8600 processor, running Fedora 11 and GHC 6.10.3: no flags 200+ -O 1.249 -O -fvia-C 0.991 As the numbers above suggest, compiling without optimisation will yield unacceptable performance. Get involved! ------------- Please feel welcome to contribute new code or bug fixes. You can fetch the source repository from here: darcs get http://darcs.serpentine.com/statistics Authors ------- Bryan O'Sullivan <bos@serpentine.com>