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>
License: GPL-2
NeedsCompilation: no
Citation: simdd citation info
Materials: NEWS
In views: Distributions
CRAN checks: simdd results


Reference manual: simdd.pdf


Package source: simdd_1.1-2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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: scorematchingad


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