simdd: Simulation of Fisher Bingham and Related Directional Distributions

Simulation methods for the Fisher Bingham distribution on the unit sphere, the matrix Bingham distribution on a Grassmann manifold, the matrix Fisher distribution on SO(3), and the bivariate von Mises sine model on the torus. The methods use the first ever general purpose acceptance/rejection simulation algorithm for the Bingham distribution and are described fully by Kent, Ganeiber and Mardia (2018) <doi:10.1080/10618600.2017.1390468>. These methods superseded earlier MCMC simulation methods and are more general than earlier simulation methods. The methods can be slower in specific situations where there are existing non-MCMC simulation methods (see Section 8 of Kent, Ganeiber and Mardia (2018) <doi:10.1080/10618600.2017.1390468> for further details).

Version: 1.1-1
Suggests: CircStats
Published: 2023-02-22
Author: John Kent [aut, cph], Kassel Liam Hingee [cre]
Maintainer: Kassel Liam Hingee <kassel.hingee at anu.edu.au>
License: GPL-2
NeedsCompilation: no
Citation: simdd citation info
Materials: NEWS
CRAN checks: simdd results

Documentation:

Reference manual: simdd.pdf

Downloads:

Package source: simdd_1.1-1.tar.gz
Windows binaries: r-devel: simdd_1.1-1.zip, r-release: simdd_1.1-1.zip, r-oldrel: simdd_1.1-1.zip
macOS binaries: r-release (arm64): simdd_1.1-1.tgz, r-oldrel (arm64): simdd_1.1-1.tgz, r-release (x86_64): simdd_1.1-1.tgz, r-oldrel (x86_64): simdd_1.1-1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=simdd to link to this page.