Le 16/07/10 10:12, Romain Francois a écrit :

Le 16/07/10 01:18, Dominick Samperi a écrit :
Currently Rcpp 0.8.4 builds cleanly at CRAN under Windows only

This is as close to nonsense as it can be, please stop this quest of
yours to advertise problems that do not exist and RTFM

we do get a trivial warning on linux which has already been fixed, and
0.8.4 has not been cran processed under OSX but we have evidence that it
works. solaris is a different matter.

and correspondingly, the dependent package cxxPack now fails under
Windows only (not able to find header files?).

The author of that package chose to not follow the documented way to
pull in the headers , which is as I told you before to add

LinkingTo: Rcpp

in the DESCRIPTION file

Also, see this thread on R-devel on how to invoke Rscript from Makevars

and here is the link of the thread:
http://article.gmane.org/gmane.comp.lang.r.devel/24449

correctly, which incidently is also documented in the "Rcpp-extending"
vignette.

Romain

On Thu, Jul 15, 2010 at 10:16 AM, Dirk Eddelbuettel <[email protected]
<mailto:[email protected]>> wrote:


Release 0.8.4 is now on CRAN (with a little delay due to vacations,
and we
even got lucky in getting it out now rather than at the end). The
relevant
NEWS entry is below.

0.8.4 2010-07-09

o new sugar vector functions: rep, rep_len, rep_each, rev,
head, tail,
diag

o sugar has been extended to matrices: The Matrix class now
extends the
Matrix_Base template that implements CRTP. Currently sugar
functions
for matrices are: outer, col, row, lower_tri, upper_tri, diag

o The unit tests have been reorganised into fewer files with
one call
each to cxxfunction() (covering multiple tests) resulting in a
significant speedup

o The Date class now uses the same mktime() replacement that R
uses
(based on original code from the timezone library by Arthur
Olson)
permitting wide date ranges on all operating systems

o The FastLM/example has been updated, a new benchmark based
on the
historical Longley data set has been added

o RcppStringVector now uses std::vector<std::string> internally

o setting the .Data slot of S4 objects did not work properly


--
Regards, Dirk




--
Romain Francois
Professional R Enthusiast
+33(0) 6 28 91 30 30
http://romainfrancois.blog.free.fr
|- http://bit.ly/bc8jNi : Rcpp 0.8.4
|- http://bit.ly/dz0RlX : bibtex 0.2-1
`- http://bit.ly/a5CK2h : Les estivales 2010


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