inline 0.3.8
Romain pushed verion 0.3.8 of inline to CRAN earlier today, and I just updated the Debian package.

This version adds an internal performance enhancement which is obtained by making due with fewer reads. The short NEWS file entry follows:

0.3.8   2010-12-07

    o   faster cfunction and cxxfunction by loading and resolving the routine
        at "compile" time

/code/inline | permanent link

inline 0.3.7
A bug-fix release 0.3.7 of inline is now on CRAN and at Debian.

It fixes a minor bug: when package.skeleton() was called to convert one or more functions created with this package into a package, the corner case of just a single submitted function failed. This is now corrected. Otherwise this release is unchanged from the previous release 0.3.6 from August.

/code/inline | permanent link

inline 0.3.6
A couple of days ago, Romain released inline release 0.3.6 to CRAN. This is a maintenance release with no user-visible changes. However, as it captures compiler errors more directly, it should help us debug Rcpp on recalcitrant platforms such as Solaris with suncc where we have no shell access and no build robot (though that may be changing with the rumoured bin-builder). More details on the release at Romain's blog.

/code/inline | permanent link

inline 0.3.5
Yesterday morning, Romain pushed inline release 0.3.5 to CRAN.

This is some ways a continuation of the 0.3.4 release I had made in December. That release had opened the door for the wide use of inline in our Rcpp package. And just how Rcpp has grown, we now have needs beyond the initial change. See the post on Romain's blog for details, but in a nutshell we are now gaining

• cxxfunction which extends cfunction further for C++ use and, among other things, adds a plugin system we can use from RcppArmadillo to permit use of inline
• package.skeleton which makes it easy to carry a function that one has prototyped with inline over into its own package -- and how to do that was a question at my most recent Rcpp talk in Vienna), and
• getDynLib which Romain will use to great effect in the next version of Rcpp to provide something not unlike Boost::Python. Stay tuned!

Last but not least, our thanks to Oleg Sklyar for letting us extend his amazing inline package for use by Rcpp.

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