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hyper.fit (version 1.1.1)

Generic N-Dimensional Hyperplane Fitting with Heteroscedastic Covariant Errors and Intrinsic Scatter

Description

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.

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Version

Install

install.packages('hyper.fit')

Monthly Downloads

516

Version

1.1.1

License

GPL-3

Maintainer

Last Published

December 5th, 2019

Functions in hyper.fit (1.1.1)

hyper.convert

Parameterisation conversion functions.
hyper.sigcor

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

Data included in hyper.fit package
hyper.fit package

hyper.fit
hyper.basic

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

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

The likelihood of a given set of data and an specified hyperplane
hyper.summary

Summary function for hyper.fit object
hyper.fit

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