File: test_glm.py

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"""
Test functions for models.glm
"""

import numpy as N
import numpy.random as R
from numpy.testing import NumpyTest, NumpyTestCase

import scipy.sandbox.models as S
import scipy.sandbox.models.glm as models

W = R.standard_normal

class test_Regression(NumpyTestCase):

    def check_Logistic(self):
        X = W((40,10))
        Y = N.greater(W((40,)), 0)
        family = S.family.Binomial()
        cmodel = models(design=X, family=S.family.Binomial())
        results = cmodel.fit(Y)
        self.assertEquals(results.df_resid, 30)

    def check_Logisticdegenerate(self):
        X = W((40,10))
        X[:,0] = X[:,1] + X[:,2]
        Y = N.greater(W((40,)), 0)
        family = S.family.Binomial()
        cmodel = models(design=X, family=S.family.Binomial())
        results = cmodel.fit(Y)
        self.assertEquals(results.df_resid, 31)

if __name__ == "__main__":
    NumpyTest().run()