sdetorus: Statistical Tools for Toroidal Diffusions

Implementation of statistical methods for the estimation of toroidal diffusions. Several diffusive models are provided, most of them belonging to the Langevin family of diffusions on the torus. Specifically, the wrapped normal and von Mises processes are included, which can be seen as toroidal analogues of the Ornstein-Uhlenbeck diffusion. A collection of methods for approximate maximum likelihood estimation, organized in four blocks, is given: (i) based on the exact transition probability density, obtained as the numerical solution to the Fokker-Plank equation; (ii) based on wrapped pseudo-likelihoods; (iii) based on specific analytic approximations by wrapped processes; (iv) based on maximum likelihood of the stationary densities. The package allows the reproducibility of the results in García-Portugués et al. (2019) <doi:10.1007/s11222-017-9790-2>.

Version: 0.1.7
Depends: R (≥ 3.6.0), Rcpp, mvtnorm, colorRamps
LinkingTo: Rcpp, RcppArmadillo
Suggests: rgl, Bessel, manipulate
Published: 2020-09-04
Author: Eduardo García-Portugués ORCID iD [aut, cre]
Maintainer: Eduardo García-Portugués <edgarcia at>
License: GPL-3
NeedsCompilation: yes
Citation: sdetorus citation info
Materials: NEWS
CRAN checks: sdetorus results


Reference manual: sdetorus.pdf
Package source: sdetorus_0.1.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: sdetorus_0.1.7.tgz, r-oldrel: sdetorus_0.1.7.tgz
Old sources: sdetorus archive


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