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lsqfit 9.1.3

Utilities for nonlinear least-squares fits.

Package Documentation

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.
File Type Py Version Uploaded on Size
lsqfit-9.1.3.tar.gz (md5) Source 2017-04-04 1MB