/// <summary>
/// Fills an array with samples generated from the distribution.
/// </summary>
/// <param name="values">The array to fill with the samples.</param>
/// <param name="shape">The shape (k) of the Erlang distribution. Range: k ≥ 0.</param>
/// <param name="rate">The rate or inverse scale (λ) of the Erlang distribution. Range: λ ≥ 0.</param>
/// <returns>a sequence of samples from the distribution.</returns>
public static void Samples(double[] values, int shape, double rate)
{
Gamma.Samples(values, shape, rate);
}
/// <summary>
/// Generates a sample from the distribution.
/// </summary>
/// <param name="shape">The shape (k) of the Erlang distribution. Range: k ≥ 0.</param>
/// <param name="rate">The rate or inverse scale (λ) of the Erlang distribution. Range: λ ≥ 0.</param>
/// <returns>a sample from the distribution.</returns>
public static double Sample(int shape, double rate)
{
return(Gamma.Sample(shape, rate));
}
/// <summary>
/// Generates a sequence of samples from the distribution.
/// </summary>
/// <param name="shape">The shape (k) of the Erlang distribution. Range: k ≥ 0.</param>
/// <param name="rate">The rate or inverse scale (λ) of the Erlang distribution. Range: λ ≥ 0.</param>
/// <returns>a sequence of samples from the distribution.</returns>
public static IEnumerable <double> Samples(int shape, double rate)
{
return(Gamma.Samples(shape, rate));
}
/// <summary>
/// Fills an array with samples generated from the distribution.
/// </summary>
/// <param name="rnd">The random number generator to use.</param>
/// <param name="values">The array to fill with the samples.</param>
/// <param name="shape">The shape (k) of the Erlang distribution. Range: k ≥ 0.</param>
/// <param name="rate">The rate or inverse scale (λ) of the Erlang distribution. Range: λ ≥ 0.</param>
/// <returns>a sequence of samples from the distribution.</returns>
public static void Samples(System.Random rnd, double[] values, int shape, double rate)
{
Gamma.Samples(rnd, values, shape, rate);
}
/// <summary>
/// Generates a sequence of samples from the distribution.
/// </summary>
/// <param name="rnd">The random number generator to use.</param>
/// <param name="shape">The shape (k) of the Erlang distribution. Range: k ≥ 0.</param>
/// <param name="rate">The rate or inverse scale (λ) of the Erlang distribution. Range: λ ≥ 0.</param>
/// <returns>a sequence of samples from the distribution.</returns>
public static IEnumerable <double> Samples(System.Random rnd, int shape, double rate)
{
return(Gamma.Samples(rnd, shape, rate));
}
/// <summary>
/// Generates a sample from the distribution.
/// </summary>
/// <param name="rnd">The random number generator to use.</param>
/// <param name="shape">The shape (k) of the Erlang distribution. Range: k ≥ 0.</param>
/// <param name="rate">The rate or inverse scale (λ) of the Erlang distribution. Range: λ ≥ 0.</param>
/// <returns>a sample from the distribution.</returns>
public static double Sample(System.Random rnd, int shape, double rate)
{
return(Gamma.Sample(rnd, shape, rate));
}
/// <summary>
/// Fills an array with samples generated from the distribution.
/// </summary>
public void Samples(double[] values)
{
Gamma.SamplesUnchecked(_random, values, _shape, _rate);
}
/// <summary>
/// Generates a sample from the Erlang distribution.
/// </summary>
/// <returns>a sample from the distribution.</returns>
public double Sample()
{
return(Gamma.SampleUnchecked(_random, _shape, _rate));
}
