Dear Dirk, thanks for your answer, I'll keep studying and decide what way
to follow.
Dear Qiang, here's the code for the function (I already did some work to
the math behind the density itself in order to quicken a bit)
library(cubature)
library(zipfR)
dcbinom <- Vectorize(function(x,nu,pp) { #
Hi,
The backend of cubature package is the cubature C library from MIT. The
same author with nlopt.
Can you give a little more detail about the double integral? Cubature
should not be that slow from my experience.
Best,
KK
On Fri, Jan 9, 2015 at 9:38 AM, Dirk Eddelbuettel wrote:
>
> On 9 J
On 9 January 2015 at 15:10, Federico Andreis wrote:
| Dear all,
|
| I was wondering what, in your opinion, would be the best way to handle the
| computation of definite integrals using Rcpp.
|
| To be more precise, I need to evaluate a double integral that turns out to be
| somewhat nasty (reall
Dear all,
I was wondering what, in your opinion, would be the best way to handle the
computation of definite integrals using Rcpp.
To be more precise, I need to evaluate a double integral that turns out to
be somewhat nasty (really slow computation and presumably inaccurate
results using the R cu
On 9 January 2015 at 11:50, janus Larsen wrote:
| Hi,
| How do I set the timezone on an Rcpp::Datetime?
| Thanks in advance,
| Sunaj
|
| This returns "1970-01-01 01:00:00 CET" (computer setting), but I want GMT...
R does the formatting in its session based on your locale.
That is generally the
Hi,
How do I set the timezone on an Rcpp::Datetime?
Thanks in advance,
Sunaj
This returns "1970-01-01 01:00:00 CET" (computer setting), but I want GMT...
// [[Rcpp::export]]
Rcpp::Datetime test() {
double d=0;
return(d);
}
___
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