Speeding up library loading

4Mb R file just containing .Call()s? Never seen something like that.
If these are all very small functions, lazy load won't be of that 
advantage, because you have to load the index file anyway.

You know, R including all base and recommended packages has just ~ 6Mb 
of R code. Are you really sure about your code?

Positively. The wrapped library is actually much bigger than R, it 
brings a few hundered new classes to R. The library has been already 
wrapped to other languages like java, and the loading speed for these 
other languages is quite reasonable. I cannot see any reasons why not 
this can be done with R too -- as a computational application R is 
supposed to be efficient in all ways.

It seems that, so far, no packages as big as this one have been created 
for R. I would appreciate any clues from the development team for 
improving the performance of big packages in R.