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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 |
Reference manual: | simdd.pdf |
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 suggests: | scorematchingad |
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