Hello,
bigmemory is not availabe in Windows, so I have to use ff
(http://cran.r-project.org/web/packages/ff/index.html) for big data ...
is there a way that I could reference ff object within Rcpp?
Thanks,
Thomas Tse
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The code from Yixuan is exactly what I dreamed might be found. This will suit
my needs perfectly. Thank you.
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Hi Dave,
I wrote a small wrapper Rcpp_integrate(), which simplifies the interface to
the R internal function Rdqags. Basically you need to define your own
integrand and parameters passed to that function. Thanks to the default
arguments introduced in C++, in most cases you only need to specify four
On 30 July 2014 at 15:23, Qiang Kou wrote:
| In my opinion, RcppGSL may be a good choice.
Seconded. GSL has a bit on (numeric) integration.
However it also uses plain C interfaces to you may start to miss C++ ...
There are a number of quadrature packages on CRAN so maybe one of those can
help t
In my opinion, RcppGSL may be a good choice.
If you are using Weibull distribution, there is a *gsl_ran_weibull_pdf()*
in GSL [1].
Best,
KK
[1]
https://www.gnu.org/software/gsl/manual/html_node/The-Weibull-Distribution.html#The-Weibull-Distribution
On Wed, Jul 30, 2014 at 3:15 PM, Silkworth,D
I have a current project desire to move something like R's integrate function
inside a loop in Rcpp code. The performance hit to call back to R seems to
kill the advantage of Rcpp in the first place. Actually my integrand is
t*pdf(t), very similar indeed to pweibull which integrates pdf(t). I
