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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 |
| 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 |
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