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Install

Install this package:

emerge -a dev-haskell/random-fu

If the package is masked, you can unmask it using the autounmask tool or standard emerge options:

autounmask dev-haskell/random-fu

Or alternatively:

emerge --autounmask-write -a dev-haskell/random-fu

Package Information

Description:

Random number generation based on modeling random variables in two complementary ways: first, by the parameters of standard mathematical distributions and, second, by an abstract type ('RVar') which can be composed and manipulated monadically and sampled in either monadic or \"pure\" styles. The primary purpose of this library is to support defining and sampling a wide variety of high quality random variables. Quality is prioritized over speed, but performance is an important goal too. In my testing, I have found it capable of speed comparable to other Haskell libraries, but still a fair bit slower than straight C implementations of the same algorithms.

Homepage:

https://github.com/mokus0/random-fu

License:

public-domain

Versions

Metadata

Description

• Random number generation based on modeling random variables in two complementary ways: first, by the parameters of standard mathematical distributions and, second, by an abstract type ('RVar') which can be composed and manipulated monadically and sampled in either monadic or \"pure\" styles. The primary purpose of this library is to support defining and sampling a wide variety of high quality random variables. Quality is prioritized over speed, but performance is an important goal too. In my testing, I have found it capable of speed comparable to other Haskell libraries, but still a fair bit slower than straight C implementations of the same algorithms.

Maintainers

• Gentoo Haskell (haskell@gentoo.org) - Type: project

<pkgmetadata>
	<maintainer type="project">
		<email>haskell@gentoo.org</email>
		<name>Gentoo Haskell</name>
	</maintainer>
	<longdescription>
		Random number generation based on modeling random
		variables in two complementary ways: first, by the
		parameters of standard mathematical distributions and,
		second, by an abstract type ('RVar') which can be
		composed and manipulated monadically and sampled in
		either monadic or \"pure\" styles.
		
		The primary purpose of this library is to support
		defining and sampling a wide variety of high quality
		random variables.  Quality is prioritized over speed,
		but performance is an important goal too.
		
		In my testing, I have found it capable of speed
		comparable to other Haskell libraries, but still
		a fair bit slower than straight C implementations of
		the same algorithms.
	</longdescription>
</pkgmetadata>

Lint Warnings

• [Error] Missing md5-cache for ebuild random-fu-0.3.0.0

Manifest