InverseGaussianSRNG

Class to generate random observations from a inverse Gaussian distribution.

struct InverseGaussianSRNG (

T

UniformRNG = Random

) if (

isFloatingPoint!T

) {

this(UniformRNG rng, T lambda, T mu);

static void popFront();

}

Constructors

this this(UniformRNG rng, T lambda, T mu): Constructor

Members

Functions

front T front()

Manifest constants

empty enum empty;

Static functions

popFront void popFront()

Examples

import std.algorithm : map;
import std.range;
auto rng = InverseGaussianSRNG!double(rndGen, 1.1, 1.1);
auto sample = rng.map!(x => x + 4).take(9).array;

Meta

Source

See Implementation