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hyper.fit (version 1.2.2)

N-Dimensional Hyperplane Fitting with Errors

Description

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.

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Version

Install

install.packages('hyper.fit')

Monthly Downloads

481

Version

1.2.2

License

GPL-3

Maintainer

Aaron Robotham

Last Published

September 2nd, 2025

Functions in hyper.fit (1.2.2)

hyper.summary

Summary function for hyper.fit object
hyper.fit-data

Data included in hyper.fit package
hyper.basic

Functions to calculate various basic properties important for line fitting
hyper.fit package

tools:::Rd_package_title("hyper.fit")
hyper.fit

Top level function that attempts to fit a hyperplane to provided data.
hyper.plot

A 2d and 3d likelihood diagnostic plot for optimal line fitting
hyper.sigcor

Function to convert from biased sample sigma to unbiased population sigma
hyper.convert

Parameterisation conversion functions.
hyper.like

The likelihood of a given set of data and an specified hyperplane