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.

Package details

AuthorAaron Robotham and Danail Obreschkow
MaintainerAaron Robotham <aaron.robotham@uwa.edu.au>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the hyper.fit package in your browser

Any scripts or data that you put into this service are public.

hyper.fit documentation built on Dec. 5, 2019, 5:12 p.m.