Metadata-Version: 1.1
Name: lsqfit
Version: 4.5.2
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:     These packages facilitate least-squares fitting of noisy data by
            multi-dimensional, nonlinear functions of arbitrarily many
            parameters. The central package is :mod:`lsqfit` which provides
            the fitting capability. :mod:`lsqfit` 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:`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.
        
            These packages use 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 :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Cython
Classifier: Topic :: Scientific/Engineering
Requires: cython (>=0.17)
Requires: numpy (>=1.7)
