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-4.7-any)simdd_1.1-2.tar.gz(r-4.6-any)
simdd_1.1-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:35b3f6964b. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 139 | ||
| source / vignettes | OK | 180 | ||
| linux-release-x86_64 | OK | 144 | ||
| wasm-release | OK | 84 |
Exports:rBesselrBinghamrBingham.GrassmannrFisher.SO3rFisherBinghamrvMsin.torus
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| 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 |