@Before
public void setUp() throws Exception {
HyperbolicModel bm = new HyperbolicModel();
double[] bparams = {1221, 29.8, 62.2};
bm.setBradleyModelParams(bparams);
IMR imr1 = new IMR();
imr1.setImRName("imr1");
imr1.setModel(bm);
ArrayList<IMR> iMR = new ArrayList<IMR>();
iMR.add(imr1);
im = new IM();
im.setName("happiness");
im.setiMR(iMR);
pm1 = new PowerModel();
double[] pparams1 = {0.1, 1.5};
pm1.setPowerModelParams(pparams1);
pm2 = new PowerModel();
double[] pparams2 = {0.5, 0.0};
pm2.setPowerModelParams(pparams2);
lgnmdl = new LogNormalModel();
lgnmdl.setMeanModel(pm1);
lgnmdl.setStddModel(pm2);
edpIm = new EDPIM();
edpIm.setDistributionFunction(lgnmdl);
edp = new EDP();
edp.setEdpIM(new ArrayList<EDPIM>());
edp.addEdpIM(edpIm);
}
@Test
public final void testEdpIm() {
LogNormalDistribution lgnd =
(LogNormalDistribution) edp.retrieveEdpIM().getDistributionFunction().distribution(1);
}
@Test
public final void testintegrandWithoutPc() {
EDPR edpr = new EDPR();
double val = 0.001;
UnivariateFunction function = edpr.integrandWithoutPc(edp.retrieveEdpIM(), im, val);
}