Definitely, once I get things working correctly/safely very happy to contribute
to the gallery!
--
Joshua F. Wiley, Ph.D.
http://joshuawiley.com/
Postdoctoral Research Fellow
Mary MacKillop Institute for Health Research
Australian Catholic University
Senior Analyst - Elkhart Group Ltd.
http://
Yes, we'd LOVE to see this turned into an Rcpp Gallery article once
you've got everything ironed out!
Details on creating Gallery articles here:
https://github.com/jjallaire/rcpp-gallery/wiki/Contributing-to-the-Rcpp-Gallery
On Tue, Apr 14, 2015 at 5:36 PM, Joshua Wiley wrote:
> Hi JJ,
>
> Thank
On 15 April 2015 at 07:36, Joshua Wiley wrote:
| Thank you, that worked wonderfully.
THis *clearly* calls for an Rcpp Gallery post as you evidently best the
'faster lm' approaches in parallel.
Can we count on you?
Dirk
--
http://dirk.eddelbuettel.com | @eddelbuettel | e...@debian.org
_
Hi JJ,
Thank you, that worked wonderfully.
Thanks to your help, I've been able to add a simple way of bootstrapping
with some success, that seems about 25x faster than direct lm() calls using
4 threads.
I've put it online in case anyone else runs across this and is interested:
https://gist.gith
This is by design; we pass objects by reference for efficiency. Use
`Rcpp::clone()` to explicitly duplicate objects.
On Tue, Apr 14, 2015 at 10:15 AM, wrote:
> Hello,
>
> I have just noticed that my small Rcpp function changes the original
> matrix on the R side -- why and how to pass by copy?
>
Hello,
I have just noticed that my small Rcpp function changes the original matrix on
the R side -- why and how to pass by copy?
Thanks
Sören
#include
using namespace Rcpp;
// [[Rcpp::export]]
NumericMatrix test_min( NumericMatrix M ) {
int n = M.nrow();
for ( int i = 0; i <
The initialization of your const fields needs to happen within the
initializer list (rather than inline where the fields are declared).
If you substitute this code for the code in your example everything
will compile:
// QR Decomposition
const CPivQR PQR;
const Permutation Pmat;
const int
Hi,
I'm interested in combining faster linear model estimation via QR
decompositions from RcppEigen with JJs new(er) RcppParallel package to do
cross validation and bootstrapping on linear models.
As a first step, I've been trying to merge the JSS paper on RcppEigen (
http://www.jstatsoft.org/v52
