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rotations (version 0.2)

chang: M-estimator theory confidence region

Description

Compute the radius of a $100(1-\alpha)$% confidence region for the central orientation based on M-estimator theory.

Usage

chang(x, estimator, alp)

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

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

Arguments

x
$n\times p$ 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.

Value

  • Radius of the confidence region centered at the specified estimator.

Details

Compute the radius of a $100(1-\alpha)$% confidence region for the central orientation centered at the projected mean or median based on a result due to Chang et al. (2001) amongst others. By construction each axis will have the same radius so the radius reported is for all three axes.

References

Chang T and Rivest L (2001). "M-estimation for location and regression parameters in group models: A case study using Stiefel manifolds." Annals of statistics, pp. 784-814.

See Also

bayesCR, prentice, fisheretal, zhang

Examples

Run this code
Rs<-ruars(20,rcayley,kappa=100)
region(Rs,method='moment',type='theory',alp=0.1,estimator='mean')

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