Run simulations or other functions while easily varying parameters from one iteration to the next. Some common use cases would be grid search for machine learning algorithms, running sets of simulations (e.g., estimating statistical power for complex models), or bootstrapping under various conditions. See the 'paramtest' documentation for more information and examples.
Version: | 0.1.0 |
Imports: | stats, boot |
Suggests: | parallel, beepr, pwr, ggplot2, knitr, nlme, lavaan, dplyr, testthat, rmarkdown |
Published: | 2017-10-24 |
Author: | Jeffrey Hughes [aut, cre] |
Maintainer: | Jeffrey Hughes <jeff.hughes at gmail.com> |
License: | GPL-3 |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | paramtest results |
Reference manual: | paramtest.pdf |
Vignettes: |
Simulating Power |
Package source: | paramtest_0.1.0.tar.gz |
Windows binaries: | r-devel: paramtest_0.1.0.zip, r-release: paramtest_0.1.0.zip, r-oldrel: paramtest_0.1.0.zip |
macOS binaries: | r-release: paramtest_0.1.0.tgz, r-oldrel: paramtest_0.1.0.tgz |
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