I’d like to try different curves against data to see which of them would best fit. So in this example x0 = collect(1.0:100.0) y0 = x .^ 4.5 f0 = curve_fit(LinearFit, x0, y0) I’d like to learn just how bad it is, but is there an easy way to get that out of it?

I have a very simple package to make fits really, really simple, in common cases: GitHub - m3g/EasyFit.jl: Easy interface for obtaining fits for 2D data

Simple curve fitting with CurveFit (or alternative)

General Usage

rafael.guerra April 7, 2021, 12:47pm 5

Check out this document too on lin-log and log-log regressions.

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Simple curve fitting with CurveFit (or alternative)

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