RQuantLib 0.3.8
A bug-fix release RQuantLib 0.3.8 is now on CRAN and in Debian. RQuantLib combines (some of) the quantitative analytics of QuantLib with the R statistical computing environment and language.

Thanks to Helmut Heiming who noticed a side-effec t from the DiscountCurve functions: the Quantlib-global variable determining the evaluation date was overriden; this could affect subsequent curve-related pricers. This is now fixed, and we added a new function setEvaluationDate to set this date from R too. We added this call in some of the examples in the manual pages. Otherwise two very minor build system tweaks were added, but no other changes were made

Thanks to CRANberries, there is also a diff to the previous release 0.3.7. Full changelog details, examples and more details about this package are at my RQuantLib page.

/code/rquantlib | permanent link

RQuantLib 0.3.7
A build-fix release RQuantLib 0.3.7 is now on CRAN and in Debian. RQuantLib combines (some of) the quantitative analytics of QuantLib with the R statistical computing environment and language.

Thanks to the help by Brian Ripley (who compiled QuantLib for 64 bit Windows), Josh Ulrich (who did the same for 32 bit Windows, and arranged the Windows builds) and Uwe Ligges (who runs win-builder for R) we once again have Windows binaries as well as the usual source distribution (and Debian binaries).

The only other change was minor fix to the documentation files. We had found that the pdf reference manual build would break for Uwe and Kurt (using A4 paper settings) but not myself (using letter). Uwe finally tracked that down: we had some arguments to \url{} with over seventy characters, and that broke typesetting. I commented those out (as the entries were in doxygen-generated QuantLib page which have volatile names anyway) and fully automated builds now resume as usual. Thanks again to Uwe for that too. No other changes were made.

Thanks to CRANberries, there is also a diff to the previous release 0.3.6. Full changelog details, examples and more details about this package are at my RQuantLib page.

/code/rquantlib | permanent link

RQuantLib 0.3.6
A bug-fix release RQuantLib 0.3.6 is now on CRAN and in Debian. RQuantLib combines (some of) the quantitative analytics of QuantLib with the R statistical computing environment and language.

There are only two changes to two files where an explicit conversion as per Rcpp::as<double> was called for. A Debian archive rebuild had triggered one of those fails to build from source bug reports as the compiler version seems to be more finicky now than when version 0.3.5 was uploaded in November. No other changes were made.

Thanks to CRANberries, there is also a diff to the previous release 0.3.5. Full changelog details, examples and more details about this package are at my RQuantLib page.

/code/rquantlib | permanent link

RQuantLib 0.3.5
The new RQuantLib release 0.3.5 is now on CRAN and in Debian. RQuantLib combines (some of) the quantitative analytics of QuantLib with the R statistical computing environment and language.

Most of the changes were made two and four weeks ago: first in response to some warnings triggered by R 2.12.0 on the included manual pages which needed a brush-up, and then again is some consolidation of manual pages and some other minor tweaks. The release was then held back at CRAN as we noticed that manual pages, when collated to a single large document, triggered a segmentation fault in the latex compiler. Oddly enough only in Europe (if the a4paper option was used) and not here (where I use uspaper). Long story short, this turns out to be a bug in the latex toolchain (which we reported as Debian bug report 604754) which is apparently is known but has no known fix yet (a sample file was supplied with the bug report if you want to take a look).

With that, special thanks go to Kurt Hornik and Brian Ripley on the R Core team who made a change to how R processes the manual which made it resilient to the latex bug so that normal release of the package could proceed (and the shiny manual is available too).

Thanks to CRANberries, there is also a diff to the previous release 0.3.4. Full changelog details, examples and more details about this package are at my RQuantLib page.

/code/rquantlib | permanent link

RQuantLib 0.3.4
A fresh release of RQuantLib is now on CRAN and in Debian. RQuantLib combines (some of) the quantitative analytics of QuantLib with the R statistical computing environment and language.

This follows the 0.3.3 release from last week and has again a number of internal changes. All uses of objects from external namespaces are now explicit as I removed the remaining using namespace QuantLib;. This makes things a little more verbose, but should be much clearer to read, especially for those not yet up to speed on whether a given object comes from any one of the Boost, QuantLib or Rcpp namespaces. We also generalized an older three-dimensional plotting function used for option surfaces -- which had already been used in the demo() code -- and improved the code underlying this: arrays of option prices and analytics given two input vectors are now computed at the C++ level for a nice little gain in efficiency. This also illustrates the possible improvements from working with the new Rcpp API that is now used throughout the package,

Full changelog details, examples and more details about this package are at my RQuantLib page.

/code/rquantlib | permanent link

RQuantLib 0.3.3
A new release (now at version 0.3.3) of RQuantLib is now on CRAN and in Debian. RQuantLib combines (some of) the quantitative analytics of QuantLib with the R statistical computing environment and language.

Many of the changes in this new version are internal. The code was re-written using the new Rcpp API throughout, and the build system was further simplified using the LinkingTo: mechanism. The arithmetic average-price asian option pricer was added. A few other code updates were made as well.

Full changelog details, examples and more details about this package are at my RQuantLib page.

/code/rquantlib | permanent link