GeneralizedInverseGaussianRNG

Class to generate random observations from a generalized inverse Gaussian distribution.

final

class GeneralizedInverseGaussianRNG : DistributionRNG!T(

UniformRNG = Random

) if (

isFloatingPoint!T

) {

this(UniformRNG rng, T lambda, T chi, T psi);

T front();

}

Constructors

this this(UniformRNG rng, T lambda, T chi, T psi): Constructor

Members

Functions

front T front(): Undocumented in source. Be warned that the author may not have intended to support it.

Examples

import std.algorithm : map;
import std.range;
auto rng = new GeneralizedInverseGaussianRNG!double(rndGen, -2, 5.0, 2);
auto sample = rng.map!(x => x + 4).take(9).array;

GeneralizedInverseGaussianRNG

Constructors

Members

Functions

Examples

See Also

Meta

Source