HLearn-distributions-1.0.0.1: Distributions for use with the HLearn library

Safe HaskellNone

HLearn.Models.Distributions.Univariate.Poisson

Description

The method of moments can be used to estimate a number of commonly used distributions. This module is still under construction as I work out the best way to handle morphisms from the Moments3 type to types of other distributions. For more information, see the wikipedia entry: https://en.wikipedia.org/wiki/Method_of_moments_(statistics)

Documentation

data Poisson sample prob Source

Instances

Eq sample => Eq (Poisson sample prob) 
Ord sample => Ord (Poisson sample prob) 
Read sample => Read (Poisson sample prob) 
Show sample => Show (Poisson sample prob) 
Num sample => Monoid (Poisson sample prob) 
Num sample => HomTrainer (Poisson sample prob) 
Num sample => Group (Poisson sample prob) 
(Integral sample, Floating prob) => PDF (Poisson sample Double) 
Num sample => Probabilistic (Poisson sample prob) 
(PDF (Poisson sample prob), Show prob, Show sample, Ord sample, Ord prob, Fractional prob, Integral sample) => PlottableDistribution (Poisson sample prob)