Math.NET Numerics
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// <copyright file="WishartTests.cs" company="Math.NET">
// Math.NET Numerics, part of the Math.NET Project
// http://numerics.mathdotnet.com
// http://github.com/mathnet/mathnet-numerics
// http://mathnetnumerics.codeplex.com
// Copyright (c) 2009-2010 Math.NET
// Permission is hereby granted, free of charge, to any person
// obtaining a copy of this software and associated documentation
// files (the "Software"), to deal in the Software without
// restriction, including without limitation the rights to use,
// copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the
// Software is furnished to do so, subject to the following
// conditions:
// The above copyright notice and this permission notice shall be
// included in all copies or substantial portions of the Software.
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
// OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
// HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
// WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
// OTHER DEALINGS IN THE SOFTWARE.
// </copyright>
using System;
using MathNet.Numerics.Distributions;
using MathNet.Numerics.LinearAlgebra;
using MathNet.Numerics.LinearAlgebra.Double;
using NUnit.Framework;
namespace MathNet.Numerics.UnitTests.DistributionTests.Multivariate
{
/// <summary>
/// <c>Wishart</c> distribution tests.
/// </summary>
[TestFixture, Category("Distributions")]
public class WishartTests
{
/// <summary>
/// Set-up parameters.
/// </summary>
[SetUp]
public void SetUp()
{
Control.CheckDistributionParameters = true;
}
/// <summary>
/// Can create wishart.
/// </summary>
/// <param name="nu">DegreesOfFreedom parameter.</param>
/// <param name="order">Scale matrix order.</param>
[TestCase(0.1, 2)]
[TestCase(1.0, 5)]
[TestCase(5.0, 5)]
public void CanCreateWishart(double nu, int order)
{
var matrix = Matrix<double>.Build.RandomPositiveDefinite(order, 1);
var d = new Wishart(nu, matrix);
Assert.AreEqual(nu, d.DegreesOfFreedom);
for (var i = 0; i < d.Scale.RowCount; i++)
{
for (var j = 0; j < d.Scale.ColumnCount; j++)
{
Assert.AreEqual(matrix[i, j], d.Scale[i, j]);
}
}
}
/// <summary>
/// Fail create Wishart with bad parameters.
/// </summary>
/// <param name="nu">DegreesOfFreedom parameter.</param>
/// <param name="order">Scale matrix order.</param>
[TestCase(0.0, 2)]
[TestCase(0.1, 5)]
[TestCase(1.0, 2)]
[TestCase(5.0, 5)]
public void FailSCreateWishart(double nu, int order)
{
var matrix = Matrix<double>.Build.RandomPositiveDefinite(order, 1);
matrix[0, 0] = 0.0;
Assert.Throws<ArgumentOutOfRangeException>(() => new Wishart(nu, matrix));
}
/// <summary>
/// Fail create Wishart with bad parameters.
/// </summary>
/// <param name="nu">DegreesOfFreedom parameter.</param>
/// <param name="order">Scale matrix order.</param>
[TestCase(-1.0, 2)]
[TestCase(Double.NaN, 5)]
public void FailNuCreateWishart(double nu, int order)
{
var matrix = Matrix<double>.Build.RandomPositiveDefinite(order, 1);
Assert.Throws<ArgumentOutOfRangeException>(() => new InverseWishart(nu, matrix));
}
/// <summary>
/// Has random source.
/// </summary>
[Test]
public void HasRandomSource()
{
var d = new Wishart(1.0, Matrix<double>.Build.RandomPositiveDefinite(2, 1));
Assert.IsNotNull(d.RandomSource);
}
/// <summary>
/// Can set random source.
/// </summary>
[Test]
public void CanSetRandomSource()
{
new Wishart(1.0, Matrix<double>.Build.RandomPositiveDefinite(2, 1))
{
RandomSource = new System.Random(0)
};
}
/// <summary>
/// Validate ToString.
/// </summary>
[Test]
public void ValidateToString()
{
var d = new Wishart(1.0, Matrix<double>.Build.RandomPositiveDefinite(2, 1));
Assert.AreEqual("Wishart(DegreesOfFreedom = 1, Rows = 2, Columns = 2)", d.ToString());
}
/// <summary>
/// Can get DegreesOfFreedom.
/// </summary>
/// <param name="nu">DegreesOfFreedom parameter.</param>
[TestCase(1.0)]
[TestCase(2.0)]
[TestCase(5.0)]
public void CanGetNu(double nu)
{
var d = new Wishart(nu, Matrix<double>.Build.RandomPositiveDefinite(2, 1));
Assert.AreEqual(nu, d.DegreesOfFreedom);
}
/// <summary>
/// Can set DegreesOfFreedom.
/// </summary>
/// <param name="nu">DegreesOfFreedom parameter.</param>
[TestCase(1.0)]
[TestCase(2.0)]
[TestCase(5.0)]
public void CanSetNu(double nu)
{
new Wishart(1.0, Matrix<double>.Build.RandomPositiveDefinite(2, 1))
{
DegreesOfFreedom = nu
};
}
/// <summary>
/// Can get scale matrix.
/// </summary>
[Test]
public void CanGetS()
{
const int Order = 2;
var matrix = Matrix<double>.Build.RandomPositiveDefinite(Order, 1);
var d = new Wishart(1.0, matrix);
for (var i = 0; i < Order; i++)
{
for (var j = 0; j < Order; j++)
{
Assert.AreEqual(matrix[i, j], d.Scale[i, j]);
}
}
}
/// <summary>
/// Can set scale matrix.
/// </summary>
[Test]
public void CanSetS()
{
new Wishart(1.0, Matrix<double>.Build.RandomPositiveDefinite(2, 1))
{
Scale = Matrix<double>.Build.RandomPositiveDefinite(2, 1)
};
}
/// <summary>
/// Validate mean.
/// </summary>
/// <param name="nu">DegreesOfFreedom parameter.</param>
/// <param name="order">Scale matrix order.</param>
[TestCase(0.1, 2)]
[TestCase(1.0, 5)]
[TestCase(5.0, 5)]
public void ValidateMean(double nu, int order)
{
var d = new Wishart(nu, Matrix<double>.Build.RandomPositiveDefinite(order, 1));
var mean = d.Mean;
for (var i = 0; i < d.Scale.RowCount; i++)
{
for (var j = 0; j < d.Scale.ColumnCount; j++)
{
Assert.AreEqual(nu * d.Scale[i, j], mean[i, j]);
}
}
}
/// <summary>
/// Validate mode.
/// </summary>
/// <param name="nu">DegreesOfFreedom parameter.</param>
/// <param name="order">Scale matrix order.</param>
[TestCase(0.1, 2)]
[TestCase(1.0, 5)]
[TestCase(5.0, 5)]
public void ValidateMode(double nu, int order)
{
var d = new Wishart(nu, Matrix<double>.Build.RandomPositiveDefinite(order, 1));
var mode = d.Mode;
for (var i = 0; i < d.Scale.RowCount; i++)
{
for (var j = 0; j < d.Scale.ColumnCount; j++)
{
Assert.AreEqual((nu - d.Scale.RowCount - 1.0) * d.Scale[i, j], mode[i, j]);
}
}
}
/// <summary>
/// Validate variance.
/// </summary>
/// <param name="nu">DegreesOfFreedom parameter.</param>
/// <param name="order">Scale matrix order.</param>
[TestCase(0.1, 2)]
[TestCase(1.0, 5)]
[TestCase(5.0, 5)]
public void ValidateVariance(double nu, int order)
{
var d = new Wishart(nu, Matrix<double>.Build.RandomPositiveDefinite(order, 1));
var variance = d.Variance;
for (var i = 0; i < d.Scale.RowCount; i++)
{
for (var j = 0; j < d.Scale.ColumnCount; j++)
{
Assert.AreEqual(nu * ((d.Scale[i, j] * d.Scale[i, j]) + (d.Scale[i, i] * d.Scale[j, j])), variance[i, j]);
}
}
}
/// <summary>
/// Validate density.
/// </summary>
/// <param name="nu">DegreesOfFreedom parameter.</param>
/// <param name="density">Expected value.</param>
[TestCase(1.0, 0.014644982561926487)]
[TestCase(2.0, 0.041042499311949421)]
[TestCase(5.0, 0.12204152134938706)]
public void ValidateDensity(double nu, double density)
{
const int Order = 1;
var matrix = new DenseMatrix(Order);
matrix[0, 0] = 1;
var x = new DenseMatrix(Order);
x[0, 0] = 5;
var d = new Wishart(nu, matrix);
AssertHelpers.AlmostEqualRelative(density, d.Density(x), 16);
}
/// <summary>
/// Can sample.
/// </summary>
[Test]
public void CanSample()
{
var d = new Wishart(1.0, Matrix<double>.Build.RandomPositiveDefinite(2, 1));
d.Sample();
}
/// <summary>
/// Can sample static.
/// </summary>
[Test]
public void CanSampleStatic()
{
Wishart.Sample(new System.Random(0), 1.0, Matrix<double>.Build.RandomPositiveDefinite(2, 1));
}
/// <summary>
/// Fail sample static with bad parameters.
/// </summary>
[Test]
public void FailSampleStatic()
{
Assert.Throws<ArgumentOutOfRangeException>(() => Wishart.Sample(new System.Random(0), -1.0, Matrix<double>.Build.RandomPositiveDefinite(2, 1)));
}
}
}