A library for cause-effect relationships.

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.

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.