Fix bug when exponentiated Weibull distribution is fitted.

tests/test_distributions.py

@@ -342,6 +342,10 @@ def test_fitting_exponentiated_weibull(self):
         self.assertGreater(params[2], 2) # scale parameter should be about 3.
         self.assertLess(params[2], 4)
 
+        # Check whether the fitted distribution has a working CDF and PDF.
+        self.assertGreater(dist.cdf(2), 0)
+        self.assertGreater(dist.pdf(2), 0)
+
 
 if __name__ == '__main__':
     unittest.main()

viroconcom/distributions.py

@@ -271,7 +271,8 @@ def _get_parameter_values(self, rv_values, dependencies):
                 parameter_vals.append(defaults[i])
             elif dependencies is None or dependencies[i] is None:
                 parameter_vals.append(param(None))
-                self._check_parameter_value(i, parameter_vals[-1])
+                if parameter_vals[-1] is not None:
+                    self._check_parameter_value(i, parameter_vals[-1])
             else:
                 parameter_vals.append(param(rv_values[dependencies[i]]))
                 try: # if list fo values iterate over values
@@ -596,7 +597,12 @@ def estimateAlphaBetaWithWLS(delta, xi, pi, do_return_parameters=True):
                 raise NotImplementedError(err_msg)
 
         params = (pHat[1], loc, pHat[0], shape2) # shape, location, scale, shape2
-        self.__init__(*params)
+        constantParams = (ConstantParam(pHat[1]), # shape parameter.
+                          ConstantParam(loc), # location parameter.
+                          ConstantParam(pHat[0]), # scale parameter.
+                          ConstantParam(shape2)) # Second shape parameter
+
+        self.__init__(*constantParams)
 
         return params
 

viroconcom/version.py

@@ -1 +1 @@
-__version__ = '1.2.5'
+__version__ = '1.2.6'