pareto: A library for cause-effect relationships.

[ bsd3, library, math ] [ Propose Tags ] [ Report a vulnerability ]

Functions

  • pareto: Is a pareto distribution present for a list of numbers?

  • causesMaxConcentration: Which causes have the highest concentration?

  • effectsMaxConcentration: Which effects have the highest concentration?

  • causes: Determine causes for specified share of effects.

  • effects: Determine effects for specified share of causes.


[Skip to Readme]

Modules

[Index]

Downloads

Maintainer's Corner

Package maintainers

For package maintainers and hackage trustees

Candidates

  • No Candidates
Versions [RSS] 0.1.0.0, 0.2.0.0
Change log ChangeLog.md
Dependencies base (>=4.9 && <4.10) [details]
License BSD-3-Clause
Copyright 2016 Benjamin Weber
Author Benjamin Weber <mail@bwe.im>
Maintainer Benjamin Weber <mail@bwe.im>
Category Math
Home page http://bitbucket.org/hyllos/pareto-haskell
Bug tracker http://bitbucket.org/hyllos/pareto-haskell/issues
Uploaded by bwe at 2016-10-19T15:04:10Z
Distributions
Reverse Dependencies 1 direct, 0 indirect [details]
Downloads 1319 total (2 in the last 30 days)
Rating (no votes yet) [estimated by Bayesian average]
Your Rating
  • λ
  • λ
  • λ
Status Docs available [build log]
Last success reported on 2016-10-19 [all 1 reports]

Readme for pareto-0.2.0.0

[back to package description]

Pareto: Is a pareto distribution present?

Features

  • The main function pareto will return True if a pareto distribution is present.
  • causesMaxConcentration returns the causes with the maximum concentration (rank * value).
  • effectsMaxConcentration returns the effects with the maximum concentration.
  • If you want the effects for a specific share of causes, use effects.
  • You get the causes for a specific share of effects via causes.

Foundation

  • pareto employs an entropy model. If entropy for a list of numbers falls below a controlLimit, pareto distribution is present.
  • causesMaxConcentration and effectsMaxConcentration will return the respective share of the causes and effects where concentration (rank * value) is highest.

Examples

Examples can be found in the package's documentation.