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Late last week, and just before leaving to participate in
this crazy thing,
I managed to get a new version of
RcppSMC onto
CRAN.
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.
This release regroups a few minor changes we accumulated over the last few
months, but was triggered by the
Rcpp 0.11.0 release
last week.
The NEWS entry is below:
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Courtesy of CRANberries, there is also a diffstat report relative to the previous release. As always, more detailed information is on the RcppSMC page,Changes in RcppSMC version 0.1.2 (2014-02-06)
Updated for Rcpp 0.11.0 with explicit
importFrom
inNAMESPACE
and corresponding versionedImports:
inDESCRIPTION
; also removed linking instruction fromsrc/Makevars
as no it is longer needed with this new Rcpp versionAddded GitHub / Travis CI support
Use more portable
dev.new()
rather thanx11()
inpfLinearBS.R
Applied some corrections to
pfNonlinBS.R
exampleConverted
NEWS
toNEWS.Rd
This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.
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