Release 0.2.8 of our RcppSMC package arrived at CRAN yesterday. 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 somewhat procedural and contains solely maintenance, either for items now highlighted by the R and CRAN package checks, or to package internals. We had made those changes at the GitHub repo over time since the last release two years ago, and it seemed like a good time to get them to CRAN now.
The release is summarized below.
Changes in RcppSMC version 0.2.8 (2025-05-10)
Updated continuous integration script
Updated package metadata now using Authors@R
Corrected use of itemized list in one manual page
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.