Package: simdd 1.1-2

Kassel Liam Hingee

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).

Authors:John Kent [aut, cph], Kassel Liam Hingee [cre]

simdd_1.1-2.tar.gz
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NEWS

# Install 'simdd' in R:
install.packages('simdd', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 scripts 183 downloads 6 exports 0 dependencies

Last updated 1 years agofrom:35b3f6964b. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-linuxOKOct 31 2024

Exports:rBesselrBinghamrBingham.GrassmannrFisher.SO3rFisherBinghamrvMsin.torus

Dependencies:

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simdd - Simulation of Fisher Bingham and Related Directional Distributionssimdd-package simdd
Simulate Fisher Bingham and related distributionsrBessel rBingham rBingham.Grassmann rFisher.SO3 rFisherBingham rvMsin.torus