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msde: Bayesian Inference for Multivariate Stochastic DifferentialEquations

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'.

Version:1.0.5
Depends:R (≥ 3.0.0)
Imports:Rcpp (≥ 0.12.7), methods, stats, tools,whisker
LinkingTo:Rcpp,RcppProgress
Suggests:knitr,rmarkdown,testthat,RcppProgress
Published:2021-12-17
DOI:10.32614/CRAN.package.msde
Author:Martin Lysy [aut, cre], Feiyu Zhu [aut], JunYong Tong [aut], Trevor Kitt [ctb], Nigel Delaney [ctb]
Maintainer:Martin Lysy <mlysy at uwaterloo.ca>
License:GPL-3
NeedsCompilation:yes
CRAN checks:msde results

Documentation:

Reference manual:msde.html ,msde.pdf
Vignettes:Example models provided by msde (source)
Getting started with msde (source,R code)

Downloads:

Package source: msde_1.0.5.tar.gz
Windows binaries: r-devel:msde_1.0.5.zip, r-release:msde_1.0.5.zip, r-oldrel:msde_1.0.5.zip
macOS binaries: r-release (arm64):msde_1.0.5.tgz, r-oldrel (arm64):msde_1.0.5.tgz, r-release (x86_64):msde_1.0.5.tgz, r-oldrel (x86_64):msde_1.0.5.tgz
Old sources: msde archive

Linking:

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