Implementation of density tracking by quadrature (DTQ) algorithms for stochastic differential equations (SDEs). DTQ algorithms numerically compute the density function of the solution of an SDE with user-specified drift and diffusion functions. The calculation does not require generation of sample paths, but instead proceeds in a deterministic fashion by repeatedly applying quadrature to the Chapman-Kolmogorov equation associated with a discrete-time approximation of the SDE. The DTQ algorithm is provably convergent. For several practical problems of interest, we have found the DTQ algorithm to be fast, accurate, and easy to use.
| Version: | 0.1 |
| Depends: | R (≥ 3.2.0) |
| Imports: | Rcpp (≥ 0.12.4), Matrix (≥ 1.2) |
| LinkingTo: | Rcpp |
| Suggests: | ggplot2 (≥ 2.1), scales (≥ 0.4.0) |
| Published: | 2016-11-22 |
| Author: | Harish S. Bhat, R. W. M. A. Madushani, Shagun Rawat |
| Maintainer: | Harish S. Bhat <hbhat at ucmerced.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | Rdtq results |
| Reference manual: | Rdtq.pdf |
| Package source: | Rdtq_0.1.tar.gz |
| Windows binaries: | r-devel: Rdtq_0.1.zip, r-release: Rdtq_0.1.zip, r-oldrel: Rdtq_0.1.zip |
| macOS binaries: | r-release: Rdtq_0.1.tgz, r-oldrel: Rdtq_0.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=Rdtq to link to this page.