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 [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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