Accord.Statistics.Distributions.Univariate.PowerLognormalDistribution.ToString C# (CSharp) Method

        public override string ToString(string format, IFormatProvider formatProvider)
        {
            return String.Format(formatProvider, "PLD(x; p = {0}, σ = {1})",
                power.ToString(format, formatProvider),
                sigma.ToString(format, formatProvider));
        }

        public void ConstructorTest1()
        {
            var plog = new PowerLognormalDistribution(power: 4.2, shape: 1.2);

            double cdf = plog.DistributionFunction(x: 1.4); // 0.98092157745191766
            double pdf = plog.ProbabilityDensityFunction(x: 1.4); // 0.046958580233533977
            double lpdf = plog.LogProbabilityDensityFunction(x: 1.4); // -3.0584893374471496

            double ccdf = plog.ComplementaryDistributionFunction(x: 1.4); // 0.019078422548082351
            double icdf = plog.InverseDistributionFunction(p: cdf); // 1.4

            double hf = plog.HazardFunction(x: 1.4); // 10.337649063164642
            double chf = plog.CumulativeHazardFunction(x: 1.4); // 3.9591972920568446

            string str = plog.ToString(CultureInfo.InvariantCulture); // PLD(x; p = 4.2, σ = 1.2)

            Assert.AreEqual(3.9591972920568446, chf);
            Assert.AreEqual(0.98092157745191766, cdf);
            Assert.AreEqual(0.046958580233533977, pdf);
            Assert.AreEqual(-3.0584893374471496, lpdf);
            Assert.AreEqual(10.337649063164642, hf);
            Assert.AreEqual(0.019078422548082351, ccdf);
            Assert.AreEqual(1.4000000000000001, icdf);
            Assert.AreEqual("PLD(x; p = 4.2, σ = 1.2)", str);
        }