Metadata-Version: 1.1
Name: gvar
Version: 8.5.1
Summary: Utilities for manipulating correlated Gaussian random variables.
Home-page: https://github.com/gplepage/gvar.git
Author: G. Peter Lepage
Author-email: g.p.lepage@cornell.edu
License: GPLv3+
Description: gvar
        ------
        This package facilitates the creation and manipulation of arbitrarily
        complicated (correlated) multi-dimensional Gaussian random variables.
        The random variables are represented by a new data type (``gvar.GVar``)
        that can be used in arithmetic expressions and pure Python functions. Such
        expressions/functions create new Gaussian random variables
        while automatically tracking statistical correlations between the new
        and old variables. This data type is useful for simple error propagation,
        but also is heavily used by the Bayesian least-squares fitting module
        ``lsqfit.py`` to define priors and specify fit results, while accounting
        for correlations between all variables. Documentation can is in the
        ``doc/`` subdirectory: see ``doc/html/index.html``
        or look online at <https://gvar.readthedocs.io>.
        
        These packages use ``numpy`` for efficient array arithmetic, and ``cython``
        to compile efficient code. ``gvar`` uses automatic differentiation to
        track covariances through arbitrary arithmetic.
        
        Information on how to install the components is in the ``INSTALLATION`` file.
        
        To test the libraries try ``make tests``. Some
        examples are give in the ``examples/`` subdirectory.
        
        ``gvar`` version numbers have the form ``major.minor.patch`` where:
        incompatible changes are signaled by incrementing the ``major`` version
        number, the ``minor`` number signals new features, and the ``patch`` number
        signals bug fixes.
        
        | Created by G. Peter Lepage (Cornell University) 2008
        | Copyright (c) 2008-2018 G. Peter Lepage
        
Platform: Any
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Cython
Classifier: Topic :: Scientific/Engineering
Requires: numpy (>=1.7)
