Package: msde
Title: Bayesian Inference for Multivariate Stochastic Differential
        Equations
Version: 1.0.4
Date: 2019-01-11
Authors@R: c(person("Martin", "Lysy", role = c("aut", "cre"),
                    email = "mlysy@uwaterloo.ca"),
             person("Feiyu", "Zhu", role = "aut"),
             person("JunYong", "Tong", role = "aut"),
	     person("Nigel", "Delaney", role = "ctb"))
Description: Implements an MCMC sampler for the posterior distribution of arbitrary time-homogeneous multivariate stochastic differential equation (SDE) models with possibly latent components.  The package provides a simple entry point to integrate user-defined models directly with the sampler's C++ code, and parallelizes large portions of the calculations when compiled with 'OpenMP'.
Depends: R (>= 3.0.0)
Imports: Rcpp (>= 0.12.7), methods, stats, tools
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
Suggests: knitr, rmarkdown, testthat, RcppArmadillo, RcppProgress
VignetteBuilder: knitr
License: GPL-3
LazyData: true
Encoding: UTF-8
RoxygenNote: 6.1.0
NeedsCompilation: yes
Packaged: 2019-01-11 22:06:52 UTC; mlysy
Author: Martin Lysy [aut, cre],
  Feiyu Zhu [aut],
  JunYong Tong [aut],
  Nigel Delaney [ctb]
Maintainer: Martin Lysy <mlysy@uwaterloo.ca>
Repository: CRAN
Date/Publication: 2019-01-15 09:50:03 UTC
Built: R 4.0.2; x86_64-w64-mingw32; 2020-08-02 08:57:03 UTC; windows
Archs: i386, x64
