CRAN/E | rotations

rotations

Working with Rotation Data

Installation

About

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).

Citation rotations citation info
github.com/stanfill/rotationsC
Bug report File report

Key Metrics

Version 1.6.5
R ≥ 2.10
Published 2023-12-08 148 days ago
Needs compilation? yes
License MIT
License File
CRAN checks rotations results

Downloads

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Maintainer

Maintainer

Bryan Stanfill

bstanfill2003@gmail.com

Authors

Bryan Stanfill

aut / cre

Heike Hofmann

aut

Ulrike Genschel

aut

Aymeric Stamm

ctb

Luciano Selzer

ctb

Material

README
NEWS
Reference manual
Package source

Vignettes

Introduction to rotations

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

rotations archive

Depends

R ≥ 2.10

Imports

ggplot2
gridExtra
Rcpp

Suggests

knitr
onion
orientlib
testthat
rmarkdown

LinkingTo

Rcpp
RcppArmadillo