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:
simdd_1.1-2.tar.gz
simdd_1.1-2.tar.gz(r-4.5-noble)simdd_1.1-2.tar.gz(r-4.4-noble)
simdd_1.1-2.tgz(r-4.4-emscripten)simdd_1.1-2.tgz(r-4.3-emscripten)
simdd.pdf |simdd.html✨
simdd/json (API)
NEWS
# Install 'simdd' in R: |
install.packages('simdd', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:35b3f6964b. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-linux | OK | Oct 31 2024 |
Exports:rBesselrBinghamrBingham.GrassmannrFisher.SO3rFisherBinghamrvMsin.torus
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
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simdd - Simulation of Fisher Bingham and Related Directional Distributions | simdd-package simdd |
Simulate Fisher Bingham and related distributions | rBessel rBingham rBingham.Grassmann rFisher.SO3 rFisherBingham rvMsin.torus |