Hello Professor Ripley, I see. Yes, I failed to compile it myself on my CentOS machine subsequent to sending this email also. Very kind of you to get back to me on this point. I will see if I can get access to a Windows machine and failing that, I will see about compiling QuantLib myself. If I am successful I will remit this to the list.
Best, Kyle On Wed, Jun 9, 2010 at 11:15 PM, Prof Brian Ripley <rip...@stats.ox.ac.uk> wrote: > On Wed, 9 Jun 2010, Kyle Matoba wrote: > >> Just wondering if there was any plans to get this up and running again: >> >> >> http://www.r-project.org/nosvn/R.check/r-release-macosx-ix86/RQuantLib-00install.html >> >> If not, I will compile it myself. > > You may not find it easy. The issue is that RQuantLib depends on QuantLib, > in fact on a recent version of QuantLib (later than the one in the current > Fedora distribution, for example). QuantLib is a large C++ suite of > programs, and I've failed to compile it on Linux in the past, and when I > have succeeded the package failed its own tests. > >> I don't see anything in the changelog to indicate that this is >> deliberate. Could whomever is compiling for macs look into this? > > It is done by Simon Urbanek's autobuiilder. I don't see anything which > indicates that it is not deliberate .... > > If you look at the packages which are not being built by the Mac > autobuiilder you will see three main reasons why: > > (a) the package fails its tests, e.g. lme4 > (b) the package depends on other packages which are not available on the > build machine, usually from BioC or OmegaHat. > (c) the package depends on external software. > > RQuantLib is in category (c), and very few such packages are being built > (not even Simon's own packages GDD and proj4). If you look at the CRAN test > logs, the only platform on which RQuantLib is being installed is 32-bit > Windows (not even Debian on which it is developed) -- and that is because > the author supplied a pre-compiled Windows version of QuantLib. > > I suspect you seriously underestimate the work which goes into providing R > binary packages. I know (I used to do it on Windows and still contribute > there) just how thankless (literally and metaphorically) it is. > > -- > Brian D. Ripley, rip...@stats.ox.ac.uk > Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ > University of Oxford, Tel: +44 1865 272861 (self) > 1 South Parks Road, +44 1865 272866 (PA) > Oxford OX1 3TG, UK Fax: +44 1865 272595 > _______________________________________________ R-SIG-Mac mailing list R-SIG-Mac@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-sig-mac
