/** Test of pdf method, of class DensityEstimator. */
@Test
public void testPdf() {
System.out.println("pdf");
Double[] data = {0.4, -0.4};
ContinuousRandomVariable ker = new UniformNoise(0, 0.3, 0);
DensityEstimator dest = new DensityEstimator(data, ker);
assertEquals(10.0 / 3.0, dest.pdf(0.5), 0.0000001);
assertEquals(5.0 / 3.0, dest.pdf(0.39), 0.0000001);
assertEquals(5.0 / 3.0, dest.pdf(-0.39), 0.0000001);
assertEquals(0.0, dest.pdf(0), 0.0000001);
}
/** Test of pdf method, of class DensityEstimator. */
@Test
public void testWithWrappedGaussian() {
System.out.println("test with wrapped gaussian");
WrappedGaussian instance = new WrappedGaussian(0, 0.05);
double eres = instance.pdf(-0.5);
int N = 100000;
Double[] X = new Double[N];
for (int i = 0; i < N; i++) X[i] = instance.getNoise();
DensityEstimator dest = new DensityEstimator(X, new WrappedUniform(0, 1.0 / 10000));
double res = dest.pdf(-0.5);
System.out.println(res + ", " + eres);
}
