You could include just that library in your distribution, and change the dynamic link path using install_name_tool. I assume how to do so in detail is beyond the intended scope of this mailing list.
> On Oct 18, 2014, at 11:42 AM, althu07 <alth...@gmail.com> wrote: > > Hi, I build a package on one Mac. I can install the package on another Mac > but it cannot be loaded. The following is the error message. > > Error in dyn.load(file, DLLpath = DLLpath, ...) : > unable to load shared object > '/Library/Frameworks/R.framework/Versions/3.1/Resources/library/mypkgfe/libs/mypkgfe.so': > dlopen(/Library/Frameworks/R.framework/Versions/3.1/Resources/library/mypkgfe/libs/mypkgfe.so, > 6): Library not loaded: /usr/local/lib/libgfortran.3.dylib > Referenced from: > /Library/Frameworks/R.framework/Versions/3.1/Resources/library/mypkgfe/libs/mypkgfe.so > Reason: image not found > Error: package or namespace load failed for ‘mypkgfe’ > > If I install the gfortran on the user's Mac, the package can be installed > and loaded successfully. But I don't think this is a good option to solve > this problem as it requires too much on the user's end. Is there anyway to > build the package so that it can be successfully loaded even the Mac > doesn't have gfortran preinstalled? > > It seems the Mavericks OS X can load the package but not the Snow Leopard > OS X. I am wondering if this has anything to do with the fact that R for > Snow Leopard doesn't include GNU Fortran. > > Thanks! > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.