wip/py-lsqfit 4.8 NetBSD

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.