Add catalog, richer html representation and info method

preliz/__init__.py

@@ -11,6 +11,7 @@
 
 from preliz.distributions import *
 from preliz.distributions.plot import plot
+from preliz.distributions.catalog import catalog
 from preliz.predictive import *
 from preliz.ppls import *
 from preliz.unidimensional import *

preliz/distributions/__init__.py

@@ -101,13 +101,11 @@
 
 all_continuous_multivariate = [Dirichlet, MvNormal]
 
+all_modifiers = [Mixture, Truncated, Censored, Hurdle]
 
 __all__ = (  # noqa: PLE0604
     [s.__name__ for s in all_continuous]
     + [s.__name__ for s in all_discrete]
     + [s.__name__ for s in all_continuous_multivariate]
-    + [Mixture.__name__]
-    + [Truncated.__name__]
-    + [Censored.__name__]
-    + [Hurdle.__name__]
+    + [s.__name__ for s in all_modifiers]
 )

preliz/distributions/asymmetric_laplace.py

@@ -62,6 +62,8 @@ class AsymmetricLaplace(Continuous):
         Symmetry parameter (0 < q < 1).
     """
 
+    parametrizations = [("kappa", "mu", "b"), ("q", "mu", "b")]
+
     def __init__(self, kappa=None, mu=None, b=None, q=None):
         super().__init__()
         self.support = (-pt.inf, pt.inf)

preliz/distributions/bernoulli.py

@@ -47,6 +47,8 @@ class Bernoulli(Discrete):
         Alternative log odds for the probability of success.
     """
 
+    parametrizations = [("p",), ("logit_p",)]
+
     def __init__(self, p=None, logit_p=None):
         super().__init__()
         self.support = (0, 1)

preliz/distributions/beta.py

@@ -70,6 +70,8 @@ class Beta(Continuous):
         concentration > 0
     """
 
+    parametrizations = [("alpha", "beta"), ("mu", "sigma"), ("mu", "nu")]
+
     def __init__(self, alpha=None, beta=None, mu=None, sigma=None, nu=None):
         super().__init__()
         self.support = (0, 1)