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author | Gabor Pali <pgj@FreeBSD.org> | 2012-12-20 02:23:04 +0000 |
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committer | Gabor Pali <pgj@FreeBSD.org> | 2012-12-20 02:23:04 +0000 |
commit | f6f83c9efc2c46d2970746758e2c682bb8a518ec (patch) | |
tree | 290f2ea61305744bf0f477895c56b92acaeb361f /math/hs-statistics | |
parent | af071cfdc1f8578bd1523b823e683074a3139a34 (diff) | |
download | ports-f6f83c9efc2c46d2970746758e2c682bb8a518ec.tar.gz ports-f6f83c9efc2c46d2970746758e2c682bb8a518ec.zip |
Notes
Diffstat (limited to 'math/hs-statistics')
-rw-r--r-- | math/hs-statistics/Makefile | 9 | ||||
-rw-r--r-- | math/hs-statistics/distinfo | 4 | ||||
-rw-r--r-- | math/hs-statistics/pkg-descr | 27 |
3 files changed, 18 insertions, 22 deletions
diff --git a/math/hs-statistics/Makefile b/math/hs-statistics/Makefile index 0244f3f6cb59..6df0e00460d0 100644 --- a/math/hs-statistics/Makefile +++ b/math/hs-statistics/Makefile @@ -1,13 +1,8 @@ -# New ports collection makefile for: hs-statistics -# Date created: January 03 2010 -# Whom: Giuseppe Pilichi aka Jacula Modyun <jacula@gmail.com> -# +# Created by: Giuseppe Pilichi aka Jacula Modyun <jacula@gmail.com> # $FreeBSD$ -# PORTNAME= statistics -PORTVERSION= 0.10.1.0 -PORTREVISION= 1 +PORTVERSION= 0.10.2.0 CATEGORIES= math haskell MAINTAINER= haskell@FreeBSD.org diff --git a/math/hs-statistics/distinfo b/math/hs-statistics/distinfo index 9ded011f2d1f..40dda681ee09 100644 --- a/math/hs-statistics/distinfo +++ b/math/hs-statistics/distinfo @@ -1,2 +1,2 @@ -SHA256 (cabal/statistics-0.10.1.0.tar.gz) = 6c29cfb8da9745debb3372897a147eb87076806f58b5b402aa4c76cea0e5d73a -SIZE (cabal/statistics-0.10.1.0.tar.gz) = 45762 +SHA256 (cabal/statistics-0.10.2.0.tar.gz) = 3ddd3c99ffb8cf9ac44e9fd9119bb5418502404d20444b58c2aa8a12177460eb +SIZE (cabal/statistics-0.10.2.0.tar.gz) = 58362 diff --git a/math/hs-statistics/pkg-descr b/math/hs-statistics/pkg-descr index e90d25803559..4fcdda303a70 100644 --- a/math/hs-statistics/pkg-descr +++ b/math/hs-statistics/pkg-descr @@ -1,19 +1,20 @@ -This Haskell 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. +This library provides a number of common functions and types useful in +statistics. We focus 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: +The library's facilities can be divided into four 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.) +* 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. +* Computing with sample data: quantile estimation, kernel density + estimation, histograms, bootstrap methods, significance testing, and + autocorrelation analysis. -Random variate generation under several different distributions. +* Random variate generation under several different distributions. -Common statistical tests for significant differences between samples. +* Common statistical tests for significant differences between samples. -WWW: http://darcs.serpentine.com/statistics +WWW: https://github.com/bos/statistics |