{"added":null,"apiVersion":1,"behindSince":null,"buildDepends":[],"categories":["wip","math","python"],"comment":"Utilities for nonlinear least-squares fits","compare":null,"dependentCount":null,"description":"These packages facilitate least-squares fitting of noisy data by\nmulti-dimensional, nonlinear functions of arbitrarily many\nparameters. The central package is :mod:`lsqfit` which provides\nthe fitting capability. :mod:`lsqfit` makes heavy use of package\n:mod:`gvar`, which provides tools for the analysis of error\npropagation, and also for the creation of complicated\nmulti-dimensional gaussian distributions. :mod:`lsqfit` supports\nBayesian priors for the fit parameters, with arbitrarily\ncomplicated multidimensional gaussian distributions. It uses\nautomatic differentiation to compute gradients, greatly simplifying\nthe design of fit functions.","flavors":[],"html":"https://daemonports.org/netbsd/wip/py-lsqfit/","kind":"port","lastUpdate":null,"license":["gnu-gpl-v3"],"maintainer":"jihbed.research@gmail.com","name":"lsqfit","newest":false,"newestVersion":null,"noVulnData":false,"origin":"wip/py-lsqfit","otherSystems":[],"packages":null,"pkgName":"lsqfit-4.8","related":["wip/py-gvar"],"repository":"pkgsrc-wip","requiredBy":["wip/py-corrfitter","wip/py-vegas"],"requiredByCount":2,"runDepends":["devel/py-cython","math/gsl","math/py-numpy"],"status":null,"system":"netbsd","systemLabel":"NetBSD","version":"4.8","versions":null,"vulnerabilities":null,"www":"https://github.com/gplepage/lsqfit.git"}