science.probability.wren

Sometimes, especially in game development and in statistical applications, it's very handy to have an easy way of returning a value based on probabilities. This library is inspired by Probability.js.

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Class Probability

Defines the main Probability methods.

• Example:

import "./science/probability" for Probability

// abbreviation
import "./science/probability" for Pr

• Since: 1.0.0

API

static complement(probability)

How probable is the event not to happen?. The complement of an event is the subset of outcomes in the sample space that are not in the event. A complement is itself an event. Brilliant.org

• Since: 1.0.0
• Signature: static func complement(probability:Num) -> Num
• Returns: The probability of the event not to happen.
• Throws: Fiber.abort() if the probability is not a number

static cdf(weights)

The cumulative distribution function (CDF) of a random variable is another method to describe the distribution of random variables. The advantage of the CDF is that it can be defined for any kind of random variable (discrete, continuous, and mixed).

• See: Probability Course

static choose(options, seed)

Choose a value inside a Map based on probabilities. Inspired by this StackOverflow answer.

• Example:

var names = {
  30 : "Jason", // 30% chance of Jason
  60 : "Michael", // 60% chance of Michael
  10 : "Fernando" // 10% chance of Fernando
}

var friend = Probability.choose(names) // Michael

// You can use any Wren value
// and it will choose one depending on it's probabilities.
var actions = {
  10: Fn.new {
    // 10% chance critical attack
  },
  30: Fn.new {
    // 30% chance miss
  },
  60: Fn.new {
    // 60% chance success
  }
}

var action = Probability.choose(actions)
action.call()

• Since: 1.0.0
• Signature: static func choose(options:Map, seed:Random? = Random.new()) -> Any
• Throws: Fiber.abort() if the options is not a map or the seed is not instanec of Random.new()