Site icon R-bloggers

RQuantLib 0.3.5

[This article was first published on Thinking inside the box , and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
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.

To leave a comment for the author, please follow the link and comment on their blog: Thinking inside the box .

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.