Metadata-Version: 1.1
Name: lsqfit
Version: 9.1
Summary: Utilities for nonlinear least-squares fits.
Home-page: https://github.com/gplepage/lsqfit.git
Author: G. Peter Lepage
Author-email: g.p.lepage@cornell.edu
License: GPLv3+
Description:     This package facilitates least-squares fitting of noisy data by
            multi-dimensional, nonlinear functions of arbitrarily many
            parameters. :mod:`lsqfit` provides the fitting capability;
            it makes heavy use of package :mod:`gvar`, which provides tools for
            the analysis of error propagation, and also for the creation of
            complicated multi-dimensional gaussian distributions. (:mod:`gvar`
            is distributed separately.) :mod:`lsqfit` supports Bayesian priors
            for the fit parameters, with arbitrarily complicated multidimensional
            Gaussian distributions. It uses automatic differentiation to compute
            gradients, greatly simplifying the design of fit functions.
        
            In addition to :mod:`gvar`, this package uses the Gnu Scientific
            Library (GSL) to do the fitting, numpy for efficient array arithmetic,
            and cython to compile efficient core routines and interface code.
            
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 :: 2.7
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Cython
Classifier: Topic :: Scientific/Engineering
Requires: cython (>=0.17)
Requires: numpy (>=1.7)
Requires: gvar (>=8.0)
