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: 1.6.5 Depends: R (≥ 2.10) Imports: ggplot2, gridExtra, Rcpp LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, onion, orientlib, testthat, rmarkdown Published: 2023-12-08 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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=rotations to link to this page.
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