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You can install the package via CRAN:
install.packages("rqualify")
The package can also be installed from this Github repository using the following:
# If needed install.packages("remotes")
remotes::install_github("Medtronic-Biostatistics/rqualify")
The purpose of this package is to ease the R software validation
steps required for regulatory submissions. The rqualify
function automates the generation of a validation document that can be
used to demonstrate that an R environment is suitable for use in a
regulated setting.
Once the rqualify package is installed, there are a few
ways to execute the validation process. For instance, you can install
Pandoc and TinyTeX as follows:
library(rqualify)
# Install and activate Pandoc
pandoc_install()
pandoc_activate()
# Install the TinyTeX bundle plus the grfext package
install_tinytex(bundle="TinyTeX",
force=TRUE,
extra_packages="grfext")
rqualify(path_save = tempdir(),
setup_tinytex = FALSE,
setup_pandoc = FALSE)
Alternately, a more convenient approach to execute the entire validation process can be used, where the Pandoc and TinyTeX installation process are wrapped inside the function:
library(rqualify)
rqualify(path_save = tempdir())
In any case, ensure that the path_save location does not
already include a folder named R-validation. See
?rqualify for more info.
We would like to thank Marc Schwartz for allowing us to modify R-IQ-OQ into the RMarkdown file made available by this package. As the original code was released under the GNU GPL version 2 license, we are adhering to the licensing and releasing this package under GNU GPL version 2 as well.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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