Add ppf() for compatibility with scipy.stats.rv_continous.ppf .

tests/test_distributions.py

@@ -274,6 +274,9 @@ def test_exponentiated_weibull_distribution_icdf(self):
         x = dist.i_cdf(0.5)
         self.assertGreater(x, 0.5)
         self.assertLess(x, 1)
+        x = dist.ppf(0.5)
+        self.assertGreater(x, 0.5)
+        self.assertLess(x, 1)
 
         # ICDF(0.9) should be roughly 1.8, see Figure 12
         # in https://arxiv.org/pdf/1911.12835.pdf .

viroconcom/distributions.py

@@ -208,6 +208,11 @@ def i_cdf(self, probabilities, rv_values=None, dependencies=None):
 
         return self._scipy_i_cdf(probabilities, *params)
 
+    def ppf(self, probabilities, rv_values=None, dependencies=None):
+        # Synsynom for i_cdf. Implemented that in external code a ParametricDistribution
+        # object can be used when scipy.stats.rv_continuous.ppf is meant.
+        return self.i_cdf(probabilities, rv_values, dependencies)
+
     def pdf(self, x, rv_values=None, dependencies=None):
         """
         Probability density function.

viroconcom/version.py

@@ -1 +1 @@
-__version__ = '1.2.6'
+__version__ = '1.2.7'