/*******************************************************************************
* Copyright (c) 2010 Haifeng Li
*
* Licensed 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 smile.stat.distribution;
import org.junit.After;
import org.junit.AfterClass;
import org.junit.Before;
import org.junit.BeforeClass;
import org.junit.Test;
import static org.junit.Assert.*;
/**
*
* @author Haifeng Li
*/
public class BetaDistributionTest {
public BetaDistributionTest() {
}
@BeforeClass
public static void setUpClass() throws Exception {
}
@AfterClass
public static void tearDownClass() throws Exception {
}
@Before
public void setUp() {
}
@After
public void tearDown() {
}
/**
* Test of constructor, of class BetaDistribution.
*/
@Test
public void testBetaDistribution() {
System.out.println("BetaDistribution");
BetaDistribution instance = new BetaDistribution(3, 2.1);
double[] data = new double[1000];
for (int i = 0; i < data.length; i++)
data[i] = instance.rand();
BetaDistribution est = new BetaDistribution(data);
assertEquals(3, est.getAlpha(), 5E-1);
assertEquals(2.1, est.getBeta(), 5E-1);
}
/**
* Test of npara method, of class Beta.
*/
@Test
public void testNpara() {
System.out.println("npara");
BetaDistribution instance = new BetaDistribution(2, 5);
instance.rand();
assertEquals(2, instance.npara());
}
/**
* Test of mean method, of class Beta.
*/
@Test
public void testMean() {
System.out.println("mean");
BetaDistribution instance = new BetaDistribution(2, 5);
instance.rand();
assertEquals(0.2857143, instance.mean(), 1E-7);
}
/**
* Test of var method, of class Beta.
*/
@Test
public void testVar() {
System.out.println("var");
BetaDistribution instance = new BetaDistribution(2, 5);
instance.rand();
assertEquals(0.0255102, instance.var(), 1E-7);
}
/**
* Test of sd method, of class Beta.
*/
@Test
public void testSd() {
System.out.println("sd");
BetaDistribution instance = new BetaDistribution(2, 5);
instance.rand();
assertEquals(0.1597191, instance.sd(), 1E-7);
}
/**
* Test of entropy method, of class Beta.
*/
@Test
public void testEntropy() {
System.out.println("entropy");
BetaDistribution instance = new BetaDistribution(2, 5);
instance.rand();
assertEquals(-0.4845307, instance.entropy(), 1E-7);
}
/**
* Test of p method, of class Beta.
*/
@Test
public void testP() {
System.out.println("p");
BetaDistribution instance = new BetaDistribution(2, 5);
instance.rand();
assertEquals(0, instance.p(-0.1), 1E-4);
assertEquals(0, instance.p(0.0), 1E-4);
assertEquals(1.9683, instance.p(0.1), 1E-4);
assertEquals(2.4576, instance.p(0.2), 1E-4);
assertEquals(2.1609, instance.p(0.3), 1E-4);
assertEquals(1.5552, instance.p(0.4), 1E-4);
assertEquals(0.9375, instance.p(0.5), 1E-4);
assertEquals(0.0, instance.p(1.0), 1E-4);
assertEquals(0.0, instance.p(1.5), 1E-4);
}
/**
* Test of logP method, of class Beta.
*/
@Test
public void testLogP() {
System.out.println("logP");
BetaDistribution instance = new BetaDistribution(2, 5);
instance.rand();
assertTrue(Double.isInfinite(instance.logp(-0.1)));
assertTrue(Double.isInfinite(instance.logp(0.0)));
assertEquals(0.6771702, instance.logp(0.1), 1E-7);
assertEquals(0.8991853, instance.logp(0.2), 1E-7);
assertEquals(0.7705248, instance.logp(0.3), 1E-7);
assertEquals(0.4416042, instance.logp(0.4), 1E-7);
assertEquals(-0.06453852, instance.logp(0.5), 1E-7);
assertTrue(Double.isInfinite(instance.logp(1.0)));
assertTrue(Double.isInfinite(instance.logp(1.5)));
}
/**
* Test of cdf method, of class Beta.
*/
@Test
public void testCdf() {
System.out.println("cdf");
BetaDistribution instance = new BetaDistribution(2, 5);
instance.rand();
assertEquals(0, instance.cdf(-0.1), 1E-5);
assertEquals(0, instance.cdf(0.0), 1E-5);
assertEquals(0.114265, instance.cdf(0.1), 1E-5);
assertEquals(0.34464, instance.cdf(0.2), 1E-5);
assertEquals(0.579825, instance.cdf(0.3), 1E-5);
assertEquals(0.76672, instance.cdf(0.4), 1E-5);
assertEquals(0.890625, instance.cdf(0.5), 1E-5);
assertEquals(1.0, instance.cdf(1.0), 1E-5);
assertEquals(1.0, instance.cdf(1.5), 1E-5);
}
/**
* Test of quantile method, of class Beta.
*/
@Test
public void testQuantile() {
System.out.println("quantile");
BetaDistribution instance = new BetaDistribution(2, 5);
instance.rand();
assertEquals(0.008255493, instance.quantile(0.001), 1E-5);
assertEquals(0.09259526, instance.quantile(0.1), 1E-5);
assertEquals(0.1398807, instance.quantile(0.2), 1E-5);
assertEquals(0.1818035, instance.quantile(0.3), 1E-5);
assertEquals(0.2225835, instance.quantile(0.4), 1E-5);
assertEquals(0.26445, instance.quantile(0.5), 1E-5);
assertEquals(0.5103163, instance.quantile(0.9), 1E-5);
assertEquals(0.7056863, instance.quantile(0.99), 1E-5);
}
}