Release 0.2.9 of our RcppSMC package arrived at CRAN today. RcppSMC provides Rcpp-based bindings to R for the Sequential Monte Carlo Template Classes (SMCTC) by Adam Johansen described in his JSS article. Sequential Monte Carlo is also referred to as Particle Filter in some contexts. The package now also features the Google Summer of Code work by Leah South in 2017, and by Ilya Zarubin in 2021.
This release is again entirely internal. It updates the code for the
just-released RcppArmadillo
15.0.2-1, in particular opts into Armadillo 15.0.2. And it makes one
small tweak to the continuous integration setup switching to the
r-ci action.
The release is summarized below.
Changes in RcppSMC version 0.2.9 (2025-09-09)
Adjust to RcppArmadillo 15.0.* by setting
ARMA_USE_CURRENTand updating two expressions from deprecated codeRely on r-ci GitHub Action which includes the bootstrap step
Courtesy of my CRANberries, there is also a diffstat report detailing changes. More information is on the RcppSMC page and the repo. Issues and bugreports should go to the GitHub issue tracker.
This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. If you like this or other open-source work I do, you can sponsor me at GitHub.