## RcppSMC: Rcpp Bindings for Sequential Monte Carlo

[![CI](https://github.com/rcppsmc/rcppsmc/workflows/ci/badge.svg)](https://github.com/rcppsmc/rcppsmc/actions?query=workflow%3Aci)
[![License](https://img.shields.io/badge/license-GPL%20%28%3E=%202%29-brightgreen.svg?style=flat)](https://www.gnu.org/licenses/gpl-2.0.html)
[![CRAN](https://www.r-pkg.org/badges/version/RcppSMC)](https://cran.r-project.org/package=RcppSMC)
[![Downloads](https://cranlogs.r-pkg.org/badges/RcppSMC?color=brightgreen)](https://www.r-pkg.org/pkg/RcppSMC)
[![Last Commit](https://img.shields.io/github/last-commit/rcppsmc/rcppsmc)](https://github.com/rcppsmc/rcppsmc)

### Summary

This package provides R with access to the
[Sequential Monte Carlo Template Classes](https://doi.org/10.18637/jss.v030.i06)
by Johansen (Journal of Statistical Software, 2009, v30, i6,
[doi:10.18637/jss.v030.i06](https://doi.org/10.18637/jss.v030.i06)).

At present, four additional examples have been added, and the first example
from the JSS paper has been extended. Further integration and extensions are
planned.

### More Examples

See the packages [ToyPackage](https://github.com/rcppsmc/ToyPackage),
[RickerExample](https://github.com/rcppsmc/RickerExample),
[SVmodelRcppSMC](https://github.com/ilyaZar/SVmodelRcppSMC), and
demo repository [SVmodelExamples](https://github.com/ilyaZar/SVmodelExamples)
next to this one in the [RcppSMC](https://github.com/rcppsmc) organization.

### Help

For support and discussion please make us of the [rcppsmc mailing list](https://groups.google.com/forum/#!forum/rcppsmc).

### Authors

Dirk Eddelbuettel, Adam M. Johansen, Leah F. South and Ilya Zarubin

### License

GPL (>= 2)
