SPELL=haskell-statistics
VERSION=0.15.0.0
SOURCE="statistics-${VERSION}.tar.gz"
SOURCE_URL[0]=https://hackage.haskell.org/package/statistics-${VERSION}/${SOURCE}
SOURCE_HASH=sha512:89b44ab8662308dc17769c47c9791b1b673fd37363483333ef0e005b0e00ec120145ee8a1174d2e5a92fdb6e00fd441e389407cdcbd99c55b6523cc79ba82949
SOURCE_DIRECTORY="${BUILD_DIRECTORY}/statistics-${VERSION}"
WEB_SITE="https://github.com/bos/statistics"
LICENSE[0]=BSD
ENTERED=20180131
SHORT="a number of common functions and types useful in statistics"
cat << EOF
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 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.)
* Computing with sample data: quantile estimation, kernel density
estimation, histograms, bootstrap methods, significance testing,
and regression and autocorrelation analysis.
* Random variate generation under several different distributions.
* Common statistical tests for significant differences between samples.
EOF