rotations1.6.6 package

Working with Rotation Data

Angular-distributions

Angular distributions

Arithmetic

Arithmetic operators on SO(3)

bayes.mean

Parameter estimates based on non-informative Bayes

bayesCR

Bayes credible regions

cayley.kappa

Circular variance and concentration parameter

Cayley

The symmetric Cayley distribution

center

Center rotation data

chang

M-estimator asymptotic confidence region

discord

Measure of Discord

fisher.kappa

Circular variance and concentration parameter

Fisher

The matrix-Fisher distribution

fisheretal

Transformation based pivotal bootstrap confidence region

genR

Generate rotations

gradient.search

Gradient optimization for rotation data

Haar

Uniform distribution

head

Return the First or Last Parts of an Object

log.SO3

Rotation logarithm

maxwell.kappa

Circular variance and concentration parameter

Maxwell

The modified Maxwell-Boltzmann distribution

MCMCSO3

MCMC for rotation data

mean

Mean rotation

median

Median rotation

mis.angle

Misorientation angle

mis.axis

Misorientation axis

Mises

The circular-von Mises distribution

plot

Visualizing random rotations

pointsXYZ

Project rotation data onto sphere

prentice

Transformation based asymptotic confidence region

project.SO3

Projection into SO(3)

Q4

Q4 class for storing rotation data as quaternions

region

Confidence and credible regions for the central orientation

rot.dist

Rotational distance

rotations

A package for working with rotation data.

rotdist.sum

Sample distance

skew.exp

Matrix exponential

SO3

SO3 class for storing rotation data as rotation matrices

tail

Return the First or Last Parts of an Object

UARS

Generic UARS Distribution

vmises.kappa

Circular variance and concentration parameter

weighted.mean

Weighted mean rotation

zhang

M-estimator theory pivotal bootstrap confidence region

Tools for working with rotational data, including simulation from the most commonly used distributions on SO(3), methods for different Bayes, mean and median type estimators for the central orientation of a sample, confidence/credible regions for the central orientation based on those estimators and a novel visualization technique for rotation data. Most recently, functions to identify potentially discordant (outlying) values have been added. References: Bingham, Melissa A. and Nordman, Dan J. and Vardeman, Steve B. (2009), Bingham, Melissa A and Vardeman, Stephen B and Nordman, Daniel J (2009), Bingham, Melissa A and Nordman, Daniel J and Vardeman, Stephen B (2010), Leon, C.A. and Masse, J.C. and Rivest, L.P. (2006), Hartley, R and Aftab, K and Trumpf, J. (2011), Stanfill, Bryan and Genschel, Ulrike and Hofmann, Heike (2013), Maonton, Jonathan (2004), Mardia, KV and Jupp, PE (2000, ISBN:9780471953333), Rancourt, D. and Rivest, L.P. and Asselin, J. (2000), Chang, Ted and Rivest, Louis-Paul (2001), Fisher, Nicholas I. (1996, ISBN:0521568900).

  • Maintainer: Bryan Stanfill
  • License: MIT + file LICENSE
  • Last published: 2025-09-28