12 lines
647 B
Plaintext
12 lines
647 B
Plaintext
These packages facilitate least-squares fitting of noisy data by
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multi-dimensional, nonlinear functions of arbitrarily many
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parameters. The central package is :mod:`lsqfit` which provides
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the fitting capability. :mod:`lsqfit` makes heavy use of package
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:mod:`gvar`, which provides tools for the analysis of error
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propagation, and also for the creation of complicated
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multi-dimensional gaussian distributions. :mod:`lsqfit` supports
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Bayesian priors for the fit parameters, with arbitrarily
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complicated multidimensional gaussian distributions. It uses
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automatic differentiation to compute gradients, greatly simplifying
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the design of fit functions.
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