# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "simdd" in publications use:' type: software license: GPL-2.0-only title: 'simdd: Simulation of Fisher Bingham and Related Directional Distributions' version: 1.1-2 doi: 10.1080/10618600.2017.1390468 identifiers: - type: doi value: 10.32614/CRAN.package.simdd abstract: 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) . 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) for further details). authors: - family-names: Kent given-names: John email: j.t.kent@leeds.ac.uk - family-names: Hingee given-names: Kassel Liam email: kassel.hingee@anu.edu.au preferred-citation: type: article title: A New Unified Approach for the Simulation of a Wide Class of Directional Distributions authors: - family-names: Kent given-names: John T. - family-names: Ganeiber given-names: Asaad M. - family-names: Mardia given-names: Kanti V. doi: 10.1080/10618600.2017.1390468 journal: Journal of Computational and Graphical Statistics volume: '27' issue: '2' year: '2018' start: 291-301 repository: https://CRAN.R-project.org/package=simdd date-released: '2023-10-31' contact: - family-names: Hingee given-names: Kassel Liam email: kassel.hingee@anu.edu.au