distuv library

Statistics and probability

Classes

Beta
The Beta Distribution is a continuous probability distribution with parameters α > 0, β >= 0.
Binomial
The Binomial Distribution is a discrete probability distribution with parameters n > 0, 1 > p > 0.
Cauchy
The Cauchy Distribution is a continuous probability distribution with parameters x, γ >= 0.
ChiSquared
The ChiSquared Distribution is a continuous probability distribution with parameters df > 0.
ContinuousRV
Interface for continuous random variables
Exponential
The Exponential Distribution is a continuous probability distribution with parameters λ > 0.
ExponentialSampler
Gamma
The Gamma Distribution is a continuous probability distribution with parameters α > 0, β > 0.
Geometric
The Geometric Distribution is a discrete probability distribution with parameters p > 0 >= 1. Note: this is models the number of failures until the first success is achieved.
Normal
The Normal(or Gaussian) Distribution is a continuous probability distribution with parameters μ, σ >= 0.
NormalSampler
RandDistStats
RandSampler
StandardExponentialSampler
StandardNormalSampler
StudentT
TODO
Uniform
The Uniform Distribution is a continuous probability distribution with parameters Min and Max, with Max < Min.
UniformSampler

Properties

rand double
no setter
randn double
no setter
standardExponential double
no setter

Functions

exponential({num scale = 1.0}) double
normal({num loc = 0, num scale = 1}) double