public void ConstructorTest1()
{
var log = new LogisticDistribution(location: 0.42, scale: 1.2);
double mean = log.Mean; // 0.42
double median = log.Median; // 0.42
double mode = log.Mode; // 0.42
double var = log.Variance; // 4.737410112522892
double cdf = log.DistributionFunction(x: 1.4); // 0.693528308197921
double pdf = log.ProbabilityDensityFunction(x: 1.4); // 0.17712232827170876
double lpdf = log.LogProbabilityDensityFunction(x: 1.4); // -1.7309146649427332
double ccdf = log.ComplementaryDistributionFunction(x: 1.4); // 0.306471691802079
double icdf = log.InverseDistributionFunction(p: cdf); // 1.3999999999999997
double hf = log.HazardFunction(x: 1.4); // 0.57794025683160088
double chf = log.CumulativeHazardFunction(x: 1.4); // 1.1826298874077226
string str = log.ToString(CultureInfo.InvariantCulture); // Logistic(x; μ = 0.42, scale = 1.2)
Assert.AreEqual(0.41999999999999998, mean);
Assert.AreEqual(0.41999999999999998, median);
Assert.AreEqual(4.737410112522892, var);
Assert.AreEqual(1.1826298874077226, chf);
Assert.AreEqual(0.693528308197921, cdf);
Assert.AreEqual(0.17712232827170876, pdf);
Assert.AreEqual(-1.7309146649427332, lpdf);
Assert.AreEqual(0.57794025683160088, hf);
Assert.AreEqual(0.306471691802079, ccdf);
Assert.AreEqual(1.3999999999999997, icdf);
Assert.AreEqual("Logistic(x; μ = 0.42, scale = 1.2)", str);
}