Hi Avinash,
So the argument for the importance of reproducible research *definitely*
resonates with us here as it is a major goal of ours. However while the
decision to use the same library as your paper helps to make the
immediate work more reproducible, it simultaneously hampers others from
benefiting from that because of the engineering problems that it creates
for end users.
Ultimately, this project has a longstanding commitment to try and
provide not only a way for your previous work to be validated, but also
a way for others to build upon and eventually extend that previous
work. And both of these goals are crucial if your package is to be
valuable to the greater scientific community over the long term.
Anyhow I will try and work with you on our issue tracker to see if we
can find a way to resolve this with you. Thanks for contributing!
Marc
On 01/26/2015 08:14 AM, avinash sahu wrote:
Hi Dan,
Now I have included source code of the rsampl.h in the GOAL package.
Although, rlecuyer is good candidate for random number generator, I
currently avoid using it because I wanted results of our submitted
manuscript to be completely reproducible. I can reproduce the results using
ransampl library by setting seed that I have stored. Changing to other
random generator libraries will imply that I have recheck results of the
manuscript are reproducible and possibly change some of them which is not
possible at this stage. I will reserve that inclusion for the future. I
have resubmitted the GOAL package.
thanks
avi
On Fri, Jan 23, 2015 at 9:37 PM, Levi Waldron <levi.wald...@hunter.cuny.edu>
wrote:
On Fri, Jan 23, 2015 at 1:58 PM, Dan Tenenbaum <dtene...@fredhutch.org>
wrote:
However, you should consider using Rlecuyer as it has no external
dependencies (see Levi's post to this thread). Then your package should
build on windows.
I think so too - it's also a standard solution in R, implemented
natively in r-core's parallel library and suggested by the snow
library. I used it in my pensim library before transitioning to
parallel, and have tested its streams on hyperthreaded CPUs and
clusters.
--
Levi Waldron
Assistant Professor of Biostatistics
City University of New York School of Public Health, Hunter College
2180 3rd Ave Rm 538
New York NY 10035-4003
phone: 212-396-7747
www.waldronlab.org
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