chang: M-estimator asymptotic confidence region

In rotations: Working with Rotation Data

M-estimator asymptotic confidence region

Description

Compute the radius of a 100(1-α)% confidence region for the central orientation based on M-estimation theory.

Usage

chang(x, estimator, alp = NULL)

## S3 method for class 'SO3'
chang(x, estimator, alp = NULL)

## S3 method for class 'Q4'
chang(x, estimator, alp = NULL)

Arguments

x	n-by-p matrix where each row corresponds to a random rotation in matrix (p=9) or quaternion (p=4) form.
estimator	character string either "mean" or "median."
alp	alpha level desired, e.g. 0.05 or 0.10.

Details

Compute the radius of a 100(1-α)% confidence region for the central orientation centered at the projected mean or median based on a result due to chang2001 among others. By construction each axis will have the same radius so the radius reported is for all three axes. This method is called "direct" because it uses M-estimation theory for SO(3) directly instead of relying on the transformation of a result from directional statistics like prentice and fisheretal do.

chang2001

Value

Radius of the confidence region centered at the specified estimator.

See Also

bayesCR, prentice, fisheretal, zhang

Examples

Rs <- ruars(20, rcayley, kappa = 100)

# The chang method can be accesed from the "region" function or the "chang" function
region(Rs, method = "direct", type = "asymptotic", alp = 0.1, estimator = "mean")
chang(Rs, estimator = "mean", alp = 0.1)

rotations documentation built on June 25, 2022, 1:06 a.m.