File: test_rlm.py

package info (click to toggle)
python-scipy 0.6.0-12
  • links: PTS, VCS
  • area: main
  • in suites: lenny
  • size: 32,016 kB
  • ctags: 46,675
  • sloc: cpp: 124,854; ansic: 110,614; python: 108,664; fortran: 76,260; objc: 424; makefile: 384; sh: 10
file content (30 lines) | stat: -rw-r--r-- 681 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
"""
Test functions for models.rlm
"""

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

import scipy.sandbox.models.rlm as models

W = R.standard_normal

class test_Regression(NumpyTestCase):

    def test_Robust(self):
        X = W((40,10))
        Y = W((40,))
        model = models(design=X)
        results = model.fit(Y)
        self.assertEquals(results.df_resid, 30)

    def test_Robustdegenerate(self):
        X = W((40,10))
        X[:,0] = X[:,1] + X[:,2]
        Y = W((40,))
        model = models(design=X)
        results = model.fit(Y)
        self.assertEquals(results.df_resid, 31)

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