N-Dimensional Hyperplane Fitting with Errors

High level functions for hyperplane fitting (hyper.fit()) and visualising (hyper.plot2d() / hyper.plot3d()). In simple terms this allows the user to produce robust 1D linear fits for 2D x vs y type data, and robust 2D plane fits to 3D x vs y vs z type data. This hyperplane fitting works generically for any N-1 hyperplane model being fit to a N dimension dataset. All fits include intrinsic scatter in the generative model orthogonal to the hyperplane.


Reference manual

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install.packages("hyper.fit")

1.2.2 by Aaron Robotham, a year ago


Browse source code at https://github.com/cran/hyper.fit


Authors: Aaron Robotham [cre, aut, cph] (ORCID: , Danail Obreschkow [aut, ctb]


Documentation:   PDF Manual  


GPL-3 license


Depends on magicaxis, MASS, rgl, LaplacesDemon


See at CRAN