Metadata-Version: 1.0
Name: pba
Version: 0.6.2
Summary: UNKNOWN
Home-page: https://github.com/Institute-for-Risk-and-Uncertainty/pba-for-python
Author: Nick Gray
Author-email: nickgray@liv.ac.uk
License: MIT License
Description: This is a probability bound analysis library for Python
        
        Intervals can be specified by using ``pba.I(x,y)``
        
        Probability distributions can be specified using
        ``pba.distname(**args)`` for all distribution that scipy.stats supports.
        Using interval arguments return p-boxes
        
        K out of N confidence boxes can be specified using ``pba.KN(k,n)``
        
        ``+,-,*,/`` operations are supported. By default frechet convolutions
        are used. But independant, perfect and opposite convolutions are also
        supported, they can be specified using a letter as in:
        
        ::
        
           A.add(B, method = 'o') # A + B using opposite convolutions
           C.sub(D, method = 'p') # C - D using perfect convolutions
           E.mul(F, method = 'i') # E * F using independence convolutions
           G.div(H, method = 'f') # G / H using frechet convolutions
        
        --------------
        
        Note: currently there may be errors in creating p-boxes for certain
        distribution types because of the way arguments are passed to the
        distributions in scipy.stats library. If these errors are noticed please
        email me
        
Platform: UNKNOWN
