pyuncertainnumber.pba.cbox_constructor
======================================

.. py:module:: pyuncertainnumber.pba.cbox_constructor

.. autoapi-nested-parse::

   a Cbox constructor by Leslie



Classes
-------

.. autoapisummary::

   pyuncertainnumber.pba.cbox_constructor.Cbox


Functions
---------

.. autoapisummary::

   pyuncertainnumber.pba.cbox_constructor.cbox_from_extredists
   pyuncertainnumber.pba.cbox_constructor.cbox_from_pseudosamples


Module Contents
---------------

.. py:class:: Cbox(*args, extre_bound_params=None, **kwargs)

   Confidence boxes (c-boxes) are imprecise generalisations of traditional confidence distributions

   They have a different interpretation to p-boxes but rely on the same underlying mathematics.
   As such in pba-for-python c-boxes inhert most of their methods from Pbox.

   :param Pbox: _description_
   :type Pbox: _type_


   .. py:attribute:: extre_bound_params
      :value: None



   .. py:method:: __repr__()


   .. py:method:: display(parameter_name=None, **kwargs)


   .. py:method:: ci(c=0.95, alpha=None, beta=None, style='two-sided')

      query the confidence interval at a given confidence level `c`



.. py:function:: cbox_from_extredists(rvs, shape=None, extre_bound_params=None)

   define cbox via parameterised extreme bouding distrbution functions

   :param rvs: list of `scipy.stats.rv_continuous` objects
   :type rvs: list
   :param extre_bound_params: list of parameters for the extreme bounding c.d.f
   :type extre_bound_params: list


.. py:function:: cbox_from_pseudosamples(samples)