This is a simple package to fit a circle to points in a plane.
Currently, there are 3 methods implemented (Kasa, Pratt, Taubin).
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To expand the package a bit I want to to include some methods provided by StatsBase like dof, residuals, coef, rss.
I was thinking of introducing a new return struct which can handle those methods.
Is there a common naming scheme or procedure on how to do handle for results?
To also implement fit and fit! I think I need a struct to represent the model itself, not only the results. Are there any good examples on how to implement a RegressionModel?
The new version is currently developed in the statsmodel branch.
https://github.com/feanor12/CircleFit.jl/blob/statsmodel/src/CircleFit.jl
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Just registered version 0.2, which now uses a StatsBase.RegressionModel like interface.
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