public void ConstructorTest()
{
var vonMises = new VonMisesDistribution(mean: 0.42, concentration: 1.2);
double mean = vonMises.Mean; // 0.42
double median = vonMises.Median; // 0.42
double var = vonMises.Variance; // 0.48721760532782921
double cdf = vonMises.DistributionFunction(x: 1.4); // 0.81326928491589345
double pdf = vonMises.ProbabilityDensityFunction(x: 1.4); // 0.2228112141141676
double lpdf = vonMises.LogProbabilityDensityFunction(x: 1.4); // -1.5014304395467863
double ccdf = vonMises.ComplementaryDistributionFunction(x: 1.4); // 0.18673071508410655
double icdf = vonMises.InverseDistributionFunction(p: cdf); // 1.3999999637927665
double hf = vonMises.HazardFunction(x: 1.4); // 1.1932220899695576
double chf = vonMises.CumulativeHazardFunction(x: 1.4); // 1.6780877262500649
string str = vonMises.ToString(CultureInfo.InvariantCulture); // VonMises(x; μ = 0.42, κ = 1.2)
double imedian = vonMises.InverseDistributionFunction(p: 0.5);
Assert.AreEqual(0.42, mean);
Assert.AreEqual(0.42, median);
Assert.AreEqual(0.42000000260613551, imedian, 1e-8);
Assert.AreEqual(0.48721760532782921, var);
Assert.AreEqual(1.6780877262500649, chf);
Assert.AreEqual(0.81326928491589345, cdf);
Assert.AreEqual(0.2228112141141676, pdf);
Assert.AreEqual(-1.5014304395467863, lpdf);
Assert.AreEqual(1.1932220899695576, hf);
Assert.AreEqual(0.18673071508410655, ccdf);
Assert.AreEqual(1.39999999999, icdf, 1e-8);
Assert.AreEqual("VonMises(x; μ = 0.42, κ = 1.2)", str);
}
public void MedianTest()
{
VonMisesDistribution target = new VonMisesDistribution(1.621, 4.52);
Assert.AreEqual(target.Median, target.InverseDistributionFunction(0.5), 1e-6);
}
