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: | 1.2.2 |
| Depends: | R (≥ 3.00),magicaxis,MASS,rgl,LaplacesDemon |
| Published: | 2025-09-02 |
| 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 |
Documentation:
| Reference manual: | hyper.fit.html ,hyper.fit.pdf |
Downloads:
| Package source: | hyper.fit_1.2.2.tar.gz |
| Windows binaries: | r-devel:hyper.fit_1.2.2.zip, r-release:hyper.fit_1.2.2.zip, r-oldrel:hyper.fit_1.2.2.zip |
| macOS binaries: | r-release (arm64):hyper.fit_1.2.2.tgz, r-oldrel (arm64):hyper.fit_1.2.2.tgz, r-release (x86_64):hyper.fit_1.2.2.tgz, r-oldrel (x86_64):hyper.fit_1.2.2.tgz |
| Old sources: | hyper.fit archive |
Linking:
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