Hi Rodney,
On 14 August 2012 at 09:17, Rodney Sparapani wrote:
| This is my first post so please be gentle ;o) I have been through
Welcome -- the list is generally very nice and helpful.
| all of the docs that I can find (but I haven't looked at the source
| code directly). Here is the behav
On 08/14/2012 09:38 AM, Douglas Bates wrote:
I think you want to move the RNGScope declaration before the calls to
rcauchy and runif.
That's it! Thank you Doug.
--
Rodney Sparapani, PhD Center for Patient Care and Outcomes Research
Sr. Biostatistician http://www.mcw.edu/pcor
4
I think you want to move the RNGScope declaration before the calls to
rcauchy and runif.
On Tue, Aug 14, 2012 at 9:17 AM, Rodney Sparapani wrote:
> This is my first post so please be gentle ;o) I have been through
> all of the docs that I can find (but I haven't looked at the source
> code direc
This is my first post so please be gentle ;o) I have been through
all of the docs that I can find (but I haven't looked at the source
code directly). Here is the behavior that I see:
> require(inline)
Loading required package: inline
> source("helper.R")
> source("corrMH.R")
>
> set.seed(66)
>
On 16 April 2012 at 12:43, Marie Auger-Methe wrote:
| Hi Dirk and list,
|
| As suggested by Dirk I have re-written the function rvm in Rcpp (see
| below) and it now gives the same results as the rvm function in R. So my
Super!
| problem is fixed (although it would nice if you could just impor
Hi Dirk and list,
As suggested by Dirk I have re-written the function rvm in Rcpp (see
below) and it now gives the same results as the rvm function in R. So my
problem is fixed (although it would nice if you could just import an R
RNG function in Rcpp... maybe a future development ;) ).
I'm st
Marie,
On 16 April 2012 at 08:56, Marie Auger-Methe wrote:
| Hi Dirk,
|
| Thank you for the prompt reply!
| By reimplement rvm using Rcpp sugar functions, do you mean re-write the
| rvm function using sugar functions?
Yes.
(But as I said I have not yet looked at the code for rvm at all...)
Yes, there is something weird about the RNG. If you replace vmc by a
function known to Rcpp such as rnorm this problem doesn't occur. If you
create a function that uses only the imported vmc the problem doesn't
occur either. The problem resides in calling two functions, of which
one is importe
Hi Dirk,
Thank you for the prompt reply!
By reimplement rvm using Rcpp sugar functions, do you mean re-write the
rvm function using sugar functions?
Marie
On 15/04/2012 9:39 PM, Dirk Eddelbuettel wrote:
Hi Marie,
On 15 April 2012 at 19:01, Marie Auger-Methe wrote:
| Hi,
|
| I want to use a r
At Sun, 15 Apr 2012 19:01:30 +0100, Marie Auger-Methe wrote:
> I want to use a random generator that is not available in the Rcpp:
> rvm from R's CircStats package and I want the number generated to be
> the same as the equivalent function in R. Importing the function
> within a Rcpp inline functio
Hi Marie,
On 15 April 2012 at 19:01, Marie Auger-Methe wrote:
| Hi,
|
| I want to use a random generator that is not available in the Rcpp: rvm
| from R's CircStats package and I want the number generated to be the
| same as the equivalent function in R. Importing the function within a
| Rcpp
Hi,
I want to use a random generator that is not available in the Rcpp: rvm
from R's CircStats package and I want the number generated to be the
same as the equivalent function in R. Importing the function within a
Rcpp inline function works fine except if you have an if-else statement.
The s
On 17 February 2011 at 18:16, Carlos Almeida wrote:
| Hi,
|
| I'm new by using C++ and Rcpp, but I wrote an minimal example which
| shows the problem:
|
|
|
| require( inline )
| require( Rcpp )
|
|
| src <- '
| RNGScope scope;
| //GetRNGstate();
|
|
Hi,
I'm new by using C++ and Rcpp, but I wrote an minimal example which
shows the problem:
require( inline )
require( Rcpp )
src <- '
RNGScope scope;
//GetRNGstate();
int NN = INTEGER(sNN)[0];
int T = INTEGER(sT)[0];
Rcpp::NumericMatrix lar(T+1
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