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LsqFit is actually mainly an API for quick use of Optim.jl for fitting. I'd also recommend GLM.jl for anything that can be linearized, which is quite common. Introduction to parameter fitting using roadrunner and Julia
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I am currently using Measurements.jl for error propagation and LsqFit.jl for fitting functions to data. Is there a simple way to fit a function to data with The LsqFit package is a small library that provides basic least-squares fitting in pure Julia under an MIT license. The basic functionality was originally
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I have to fit parameters of my model against the data I have. My model equation is of the form, z = ax / (by - c) where a, b, c are the parameters and x, y, z What other videos would you guys like to see? Thank you for joining me today and healing our core together. Make sure you like