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lsqfit 4.8.2

Utilities for nonlinear least-squares fits.

Package Documentation

Latest Version: 8.1

These packages facilitate least-squares fitting of noisy data by

multi-dimensional, nonlinear functions of arbitrarily many parameters. The central package is lsqfit which provides the fitting capability. lsqfit makes heavy use of package gvar, which provides tools for the analysis of error propagation, and also for the creation of complicated multi-dimensional gaussian distributions. 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.

 
File Type Py Version Uploaded on Size
lsqfit-4.8.2.tar.gz (md5) Source 2014-05-16 1MB