hyper.fit: 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.

Version: 1.2.1
Depends: R (≥ 3.00), magicaxis, MASS, rgl, LaplacesDemon
Published: 2024-06-06
DOI: 10.32614/CRAN.package.hyper.fit
Author: Aaron Robotham ORCID iD [cre, aut, cph], Danail Obreschkow [aut, ctb]
Maintainer: Aaron Robotham <aaron.robotham at uwa.edu.au>
License: GPL-3
NeedsCompilation: no
Citation: hyper.fit citation info
CRAN checks: hyper.fit results


Reference manual: hyper.fit.pdf


Package source: hyper.fit_1.2.1.tar.gz
Windows binaries: r-devel: hyper.fit_1.2.1.zip, r-release: hyper.fit_1.2.1.zip, r-oldrel: hyper.fit_1.2.1.zip
macOS binaries: r-release (arm64): hyper.fit_1.2.1.tgz, r-oldrel (arm64): hyper.fit_1.2.1.tgz, r-release (x86_64): hyper.fit_1.2.1.tgz, r-oldrel (x86_64): hyper.fit_1.2.1.tgz
Old sources: hyper.fit archive


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