hyper.fit: 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.

Version:	1.1.1
Depends:	R (≥ 3.00), magicaxis, MASS, rgl, LaplacesDemon
Published:	2019-12-05
Author:	Aaron Robotham and Danail Obreschkow
Maintainer:	Aaron Robotham <aaron.robotham at uwa.edu.au>
License:	GPL-3
NeedsCompilation:	no
Citation:	hyper.fit citation info
Materials:	NEWS
CRAN checks:	hyper.fit results

Documentation:

Reference manual:

hyper.fit.pdf

Downloads:

Package source:	hyper.fit_1.1.1.tar.gz
Windows binaries:	r-devel: hyper.fit_1.1.1.zip, r-release: hyper.fit_1.1.1.zip, r-oldrel: hyper.fit_1.1.1.zip
macOS binaries:	r-release (arm64): hyper.fit_1.1.1.tgz, r-oldrel (arm64): hyper.fit_1.1.1.tgz, r-release (x86_64): hyper.fit_1.1.1.tgz, r-oldrel (x86_64): hyper.fit_1.1.1.tgz
Old sources:	hyper.fit archive

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