Provides parallel versions of the gradient-based optim() methods. The main function of the package is optimParallel(), which has the same usage and output as optim(). Using optimParallel() can significantly reduce the optimization time.
Version: | 0.7-4 |
Depends: | R (≥ 3.1), stats, parallel |
Suggests: | R.rsp, roxygen2, spam, microbenchmark, testthat, ggplot2, numDeriv |
Published: | 2018-10-15 |
Author: | Florian Gerber |
Maintainer: | Florian Gerber <florian.gerber at math.uzh.ch> |
BugReports: | https://git.math.uzh.ch/florian.gerber/optimParallel/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://git.math.uzh.ch/florian.gerber/optimParallel |
NeedsCompilation: | no |
Citation: | optimParallel citation info |
Materials: | README NEWS |
CRAN checks: | optimParallel results |
Reference manual: | optimParallel.pdf |
Vignettes: |
Parallel versions of gradient-based optim() methods |
Package source: | optimParallel_0.7-4.tar.gz |
Windows binaries: | r-devel: optimParallel_0.7-4.zip, r-release: optimParallel_0.7-4.zip, r-oldrel: optimParallel_0.7-4.zip |
OS X binaries: | r-release: optimParallel_0.7-4.tgz, r-oldrel: optimParallel_0.7-4.tgz |
Old sources: | optimParallel archive |
Reverse suggests: | GLMMadaptive |
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