hyper.fit (1.1.1)

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Generic N-Dimensional Hyperplane Fitting with Heteroscedastic Covariant Errors and Intrinsic Scatter.


Includes two main high level codes 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.

Maintainer: Aaron Robotham
Author(s): Aaron Robotham and Danail Obreschkow

License: GPL-3

Uses: LaplacesDemon, magicaxis, MASS, rgl

Released about 1 month ago.

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