| /* |
| * Licensed to the Apache Software Foundation (ASF) under one or more |
| * contributor license agreements. See the NOTICE file distributed with |
| * this work for additional information regarding copyright ownership. |
| * The ASF licenses this file to You under the Apache License, Version 2.0 |
| * (the "License"); you may not use this file except in compliance with |
| * the License. You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, software |
| * distributed under the License is distributed on an "AS IS" BASIS, |
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| * See the License for the specific language governing permissions and |
| * limitations under the License. |
| */ |
| package org.apache.commons.statistics.distribution; |
| |
| import org.junit.jupiter.api.Assertions; |
| import org.junit.jupiter.api.Test; |
| |
| class LevyDistributionTest extends ContinuousDistributionAbstractTest { |
| |
| //-------------- Implementations for abstract methods ---------------------- |
| |
| @Override |
| public LevyDistribution makeDistribution() { |
| return new LevyDistribution(1.2, 0.4); |
| } |
| |
| @Override |
| public double[] makeCumulativeTestPoints() { |
| return new double[] { |
| 1.2001, 1.21, 1.225, 1.25, 1.3, 1.9, 3.4, 5.6 |
| }; |
| } |
| |
| @Override |
| public double[] makeCumulativeTestValues() { |
| // values computed with R and function plevy from rmutil package |
| return new double[] { |
| 0, 2.53962850749e-10, 6.33424836662e-05, 0.00467773498105, |
| 0.0455002638964, 0.449691797969, 0.669815357599, 0.763024600553 |
| }; |
| } |
| |
| @Override |
| public double[] makeDensityTestValues() { |
| // values computed with R and function dlevy from rmutil package |
| return new double[] { |
| 0, 5.20056373765e-07, 0.0214128361224, 0.413339707082, 1.07981933026, |
| 0.323749319161, 0.0706032550094, 0.026122839884 |
| }; |
| } |
| |
| /** |
| * Creates the default logarithmic probability density test expected values. |
| * Reference values are from R, version 2.14.1. |
| */ |
| @Override |
| public double[] makeLogDensityTestValues() { |
| return new double[] { |
| -1987.561573341398d, -14.469328620160d, -3.843764717971d, |
| -0.883485488811d, 0.076793740349d, -1.127785768948d, |
| -2.650679030597d, -3.644945255983d}; |
| } |
| |
| //-------------------- Additional test cases ------------------------------- |
| |
| @Test |
| void testParameterAccessors() { |
| final LevyDistribution d = makeDistribution(); |
| Assertions.assertEquals(1.2, d.getLocation()); |
| Assertions.assertEquals(0.4, d.getScale()); |
| } |
| |
| @Test |
| void testMoments() { |
| LevyDistribution dist; |
| |
| dist = new LevyDistribution(0, 0.5); |
| Assertions.assertEquals(Double.POSITIVE_INFINITY, dist.getMean()); |
| Assertions.assertEquals(Double.POSITIVE_INFINITY, dist.getVariance()); |
| |
| dist = new LevyDistribution(0, 1); |
| Assertions.assertEquals(Double.POSITIVE_INFINITY, dist.getMean()); |
| Assertions.assertEquals(Double.POSITIVE_INFINITY, dist.getVariance()); |
| |
| dist = new LevyDistribution(-3, 2); |
| Assertions.assertEquals(Double.POSITIVE_INFINITY, dist.getMean()); |
| Assertions.assertEquals(Double.POSITIVE_INFINITY, dist.getVariance()); |
| } |
| |
| @Test |
| void testSupport() { |
| final LevyDistribution d = makeDistribution(); |
| Assertions.assertEquals(d.getLocation(), d.getSupportLowerBound()); |
| Assertions.assertEquals(Double.POSITIVE_INFINITY, d.getSupportUpperBound()); |
| Assertions.assertTrue(d.isSupportConnected()); |
| } |
| } |