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> On Apr 15, 2015, at 07:50, Dirk Eddelbuettel wrote:
>
>
> 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
> 'fast
/ initialize with input and output
> CVLM(const Eigen::VectorXd y, const Eigen::MatrixXd X,
> Rcpp::NumericMatrix betamat)
> : y(y), X(X), PQR(X), Pmat(PQR.colsPermutation()), r(PQR.rank()),
> betamat(betamat) {}
>
>
>
> On Tue, Apr 14, 2015 at 4:41 AM, Joshua Wiley
> wro
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
; NumericVector res = clone(xx);
>
> int toggle = 0;
> int tot = 100;
> int max = 100;
> [...]
>
> On Sun, Jul 8, 2012 at 1:20 AM, Joshua Wiley wrote:
>>
>> Hi,
>>
>> I am familiar with R but quite new to C++. I am reading a C++
>> textbook, so if thi
o me, because I do not think I even
modify the input vector, I copy it into the numeric vector res and
alter that.
Thanks,
Josh
--
Joshua Wiley
Ph.D. Student, Health Psychology
Programmer Analyst II, Statistical Consulting Group
University of California, Los Angeles
https://joshuawiley.com/
