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simdd: Simulation of Fisher Bingham and Related DirectionalDistributions

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:scorematchingad

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=simddto link to this page.


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