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RcppSMC: Rcpp Bindings for Sequential Monte Carlo

R access to the Sequential Monte Carlo Template Classes by Johansen <doi:10.18637/jss.v030.i06> is provided. 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.

Version: 0.2.7
Imports: Rcpp (≥ 0.11.0), methods, FKF
LinkingTo: Rcpp, RcppArmadillo
Suggests: pkgKitten (≥ 0.2.2)
Published: 2023-03-22
DOI: 10.32614/CRAN.package.RcppSMC
Author: Dirk Eddelbuettel, Adam M. Johansen, Leah F. South and Ilya Zarubin
Maintainer: Dirk Eddelbuettel <edd at debian.org>
BugReports: https://github.com/rcppsmc/rcppsmc/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/rcppsmc/rcppsmc, https://dirk.eddelbuettel.com/code/rcpp.smc.html
NeedsCompilation: yes
Materials: README NEWS ChangeLog
CRAN checks: RcppSMC results

Documentation:

Reference manual: RcppSMC.pdf

Downloads:

Package source: RcppSMC_0.2.7.tar.gz
Windows binaries: r-devel: RcppSMC_0.2.7.zip, r-release: RcppSMC_0.2.7.zip, r-oldrel: RcppSMC_0.2.7.zip
macOS binaries: r-release (arm64): RcppSMC_0.2.7.tgz, r-oldrel (arm64): RcppSMC_0.2.7.tgz, r-release (x86_64): RcppSMC_0.2.7.tgz, r-oldrel (x86_64): RcppSMC_0.2.7.tgz
Old sources: RcppSMC archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RcppSMC to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.