The paramtest
R package includes a set of functions used
to iterate a function across multiple sets of parameters. It allows you
to train algorithms, run simulations, etc. while easily varying
parameters.
This package offers a flexible way to undergo a grid search or random
search when varying parameters. Users must provide a function to iterate
over, so all inputs and outputs of the function are specified by the
user, offering complete control over the process. paramtest
encapsulates the search process (along with options to parallelize over
multiple processor cores), but is otherwise intentionally left very
general-purpose.
However, the package was made with machine learning hyperparameter optimization and statistical power simulations in mind—see the vignettes for examples of these use cases.
Please be aware that this package is still in development, and as such, bugs may still exist, and functions and function parameters may still be subject to change.
To install the most recent stable release, use the following code:
install.packages("devtools")
::install_github("jeff-hughes/paramtest", build_vignettes=TRUE) devtools
Networked computers can sometimes result in installation issues, as
the install_github
function sometimes has difficulty with
networked directories. If this happens to you, use the
.libPaths()
function to find the path to your R libraries.
That will likely give you a path starting with two backslashes, but you
will need to convert that to a path starting with a drive letter (e.g.,
‘C:’, ‘D:’). From there, use the following code:
install.packages("devtools")
::install_github("jeff-hughes/paramtest", build_vignettes=TRUE,
devtoolsargs=c('--library="N:/path/to/libraries/"'))
Obviously, change the path to the path where your R libraries are stored.