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Author: AlexAndorra

pymc3/distributions/discrete.py

@@ -1734,7 +1734,6 @@ class OrderedLogistic:
         plt.hist(posterior["cutpoints"][0], 80, alpha=0.2, color='k');
         plt.hist(posterior["cutpoints"][1], 80, alpha=0.2, color='k');
     """
-    rv_op = categorical
 
     def __new__(cls, name, *args, compute_p=True, **kwargs):
         out_rv = _OrderedLogistic(name, *args, **kwargs)
@@ -1846,7 +1845,6 @@ class OrderedProbit:
         plt.hist(posterior["cutpoints"][0], 80, alpha=0.2, color='k');
         plt.hist(posterior["cutpoints"][1], 80, alpha=0.2, color='k');
     """
-    rv_op = categorical
 
     def __new__(cls, name, *args, compute_p=True, **kwargs):
         out_rv = _OrderedProbit(name, *args, **kwargs)

pymc3/distributions/multivariate.py

@@ -791,7 +791,6 @@ class OrderedMultinomial:
         # Plot the results
         arviz.plot_posterior(trace_12_4, var_names=["complete_p"], ref_val=list(true_p));
     """
-    rv_op = multinomial
 
     def __new__(cls, name, *args, compute_p=True, **kwargs):
         out_rv = _OrderedMultinomial(name, *args, **kwargs)