[R] Installing RQuantLib on Win 7 64 Bit
marchywka at hotmail.com
Sat Nov 27 13:00:07 CET 2010
> > ----------------------------------------
> >> Date: Thu, 25 Nov 2010 21:22:54 -0600
> >> To: santosh.srinivas at gmail.com
> >> From: edd at debian.org
> >> CC: r-help at r-project.org
> >> Subject: Re: [R] Installing RQuantLib on Win 7 64 Bit
> >> On 26 November 2010 at 07:05, Santosh Srinivas wrote:
> >> | Hello Group,
> >> |
> >> | I am trying out RQuantLib on a 64bit Win 7 machine. But running into
> >> | installation errors
> >> The error message is about as clear as it can get:
> >> | install.packages("RQuantLib")
> >> |
> >> | Warning in install.packages("RQuantLib") :
> >> | argument 'lib' is missing: using
> >> | 'C:\Users\Tester\Documents/R/win64-library/2.11'
> >> | Warning: unable to access index for repository
> >> | http://www.stats.ox.ac.uk/pub/RWin/bin/windows64/contrib/2.11
> Which indicated that this was R 2.11.x, a version of R for x64 Windows
> that is no longer supported and which used a different toolchain from
> current R builds. No more binary packages will be produced for that
> platform, and its users were asked to update to pre-2.12.0 two months
> >> | Warning message:
> >> | In getDependencies(pkgs, dependencies, available, lib) :
> >> | package ‘RQuantLib’ is not available
> >> ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
> >> There is your answer: there simply is no binary package.
> >> I need a win64 development box (which I currently do not have) to build
> >> QuantLib as a win64 library so that CRAN and R-Forge can turn the RQuantLib
> >> source into a binary for you.
> It is quite possible that could be done by cross-compiling: most of
> the external software used by win-builder and R-forge has been
> cross-compiled on (i686 or x86_64) Linux, including complex projects
> with C++ interfaces such as GDAL and SYMPHONY. (C++ interfaces are
> much less portable than C interfaces so you do need carefully to match
> the cross-compiler to the toolchain used to compile the R package.)
> > How bad are things getting? LOL. Seriously though, can anyone such as OP
> > or I download source, build, install, and contrib it back?
> Well, not 'anyone' if you mean contribute back to CRAN or R-forge.
> System maintainers do care about security, and to accept binary
> software will want verifiable credentials. But 'anyone' *can* set up
> a CRAN-style repository and distribute binary packages from there
> (provided they follow the license conditions). And additional
> repositories can be made known to an R installation by editing a text
> file (see ?setRepositories), or used directly by the 'contriburl'
> argument to install.packages() etc.
> > Up until recently I had been building all the packages from source
> > but one failed to install and now I just use install.package as was
> > attempted here. I've been building on cygwin 1.7.
> Which is of course a different OS, hosted on Windows.
What tool chains are you using for 'doh's buils? MSVC?
> Brian D. Ripley, ripley at 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
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