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 an 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 supersede 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:	1.1-2
Suggests:	CircStats, testthat (≥ 3.0.0)
Published:	2023-10-31
DOI:	10.32614/CRAN.package.simdd
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
In views:	Distributions
CRAN checks:	simdd results

Documentation:

Reference manual:

simdd.html , simdd.pdf

Downloads:

Package source:	simdd_1.1-2.tar.gz
Windows binaries:	r-devel: simdd_1.1-2.zip, r-release: simdd_1.1-2.zip, r-oldrel: simdd_1.1-2.zip
macOS binaries:	r-release (arm64): simdd_1.1-2.tgz, r-oldrel (arm64): simdd_1.1-2.tgz, r-release (x86_64): simdd_1.1-2.tgz, r-oldrel (x86_64): simdd_1.1-2.tgz
Old sources:	simdd archive

Reverse dependencies:

Reverse suggests:

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Linking:

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