Closed grantbrown closed 9 years ago
Hi Grant,
Thank you very much for this great addition to ncvreg. I've incorporated your changes in ncvreg version 3.3, which I've just submitted to CRAN. I used your code to rewrite cv.ncvreg, although I didn't merge your exact changes, because I wanted to set things up slightly differently. The main difference is that I didn't want a separate pa.cv.ncvreg function; I just added the parallel support directly into cv.ncvreg -- you can run it in parallel by passing the cluster as an argument:
cl <- makeCluster(4)
cvfit <- cv.ncvreg(X, y, cluster=cl, nfolds=length(y))
Thanks again for this addition, and sorry for the delay in my incorporating it -- I was in the middle of big update of ncvreg to include survival models, and wanted to get that sorted out before working on this.
No problem, glad you found it useful. In retrospect, I definitely agree that your modifications make more sense than a separate parallel function - less code to maintain, and it keeps the package namespace cleaner.
Adds a function "pa.cv.ncvreg" and associated documentation which allows cross validation calls to ncvreg to be made and executed in parallel. Adds library dependency "parallel", which is included in versions of R >= 2.14.
Example usage and timings are available here
In addition, I've included the data files usually distributed with the package, in order to pass R CMD check (let me know if that's a problem, and I can revert it).