The very useful Valgrind tool had flagged
an actual error in the package which the CRAN maintainers
asked us to address. This was followed by a minor brown-bad oversight of a
delete, also tagged by Valgrind.
Both are pretty ancient bugs which we probably should have found aeons ago.
Releases 0.1.3 and 0.1.4 made it to CRAN
yesterday in short succession.
To recap, RcppSMC
combines the SMCTC template classes for Sequential Monte Carlo and Particle
Filters (Johansen, 2009, JSS) with the Rcpp package for R/C++ Integration
(Eddelbuettel and Francois, 2011, JSS) and thereby allows for easier and more
direct access from R to the computational core of the Sequential Monte Carlo algorithm.
The two NEWS entries are below:
Changes in RcppSMC version 0.1.4 (2014-05-02)
Added missing delete operator to destructor in
Changes in RcppSMC version 0.1.3 (2014-05-01)
Sampler.iterate()for memory overrun detected by valgrind
As always, more detailed information is on the RcppSMC page,