PBA

PBA is a probability bound analysis library for Python that allows one to create and calculate with probability distributions, intervals, and probability boxes (p-boxes) within Python.

Probability distributions can be specified using pba.distname(**args) where distname is any of the named distributions that scipy.stats supports. For instance, pba.laplace(2,1) specifies a Laplace distribution with mean and variance 2. P-boxes can be created by using interval arguments for these distributions. Intervals can be created using pba.I(lo, hi) where lo and hi are expressions for the lower and upper limits of the interval.

Features

• Interval arithmetic (see https://en.wikipedia.org/wiki/Interval_arithmetic)

• P-box arithmetic (see https://en.wikipedia.org/wiki/Probability_bounds_analysis)

Installation

Install pba by running

pip install pba

Contribute & Support

If you are having issues or would like to help with development or have intersting use cases, please let us know. You can email nickgray@liv.ac.uk.

License

The project is licensed under the MIT License.

Contents:

• Intervals
  • Interval
    • Interval.cos()
    • Interval.equiv()
    • Interval.exp()
    • Interval.hi()
    • Interval.intersection()
    • Interval.lo()
    • Interval.log()
    • Interval.midpoint()
    • Interval.oadd()
    • Interval.odiv()
    • Interval.omul()
    • Interval.osub()
    • Interval.padd()
    • Interval.pdiv()
    • Interval.pm()
    • Interval.pmul()
    • Interval.psub()
    • Interval.recip()
    • Interval.sample()
    • Interval.sin()
    • Interval.sqrt()
    • Interval.straddles()
    • Interval.straddles_zero()
    • Interval.tan()
    • Interval.to_logical()
    • Interval.width()
  • I
  • Logical
• Probability boxes
  • pba.pbox Module
    • Functions
    • Classes
    • Functions
    • Functions
• Copulas
  • pba.copula Module
    • Functions
    • Classes

Indices and tables

• Index

• Module Index

• Search Page