rotations: Working with Rotation Data

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).

Version:	1.6.6
Depends:	R (≥ 2.10)
Imports:	ggplot2, gridExtra, Rcpp
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	knitr, onion, orientlib, testthat, rmarkdown
Published:	2025-09-28
DOI:	10.32614/CRAN.package.rotations
Author:	Bryan Stanfill [aut, cre], Heike Hofmann [aut], Ulrike Genschel [aut], Aymeric Stamm [ctb], Luciano Selzer [ctb]
Maintainer:	Bryan Stanfill <bstanfill2003 at gmail.com>
BugReports:	https://github.com/stanfill/rotationsC/issues
License:	MIT + file LICENSE
URL:	https://github.com/stanfill/rotationsC
NeedsCompilation:	yes
Citation:	rotations citation info
Materials:	README, NEWS
CRAN checks:	rotations results

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