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The R package dgpsi
provides R interface to Python package dgpsi
for deep and linked Gaussian process emulations using stochastic imputation (SI).
Hassle-free Python Setup
You don’t need prior knowledge of Python to start using the package, all you need is a single click in R (see Installation section below) that automatically installs and activates the required Python environment for you!
dgpsi
currently has following features:
You can install the package from CRAN:
or its development version from GitHub:
After the installation, run
to load the package. To install or activate the required Python environment automatically, simply run a function from the package. That’s it, the package is now ready to use!
Note
After loadingdgpsi
, the package may take some time to compile and initiate the underlying Python environment the first time a function fromdgpsi
is executed. Any subsequent function calls won’t require re-compiling or re-activation of the Python environment, and will be faster.If you experience Python related issues while using the package, please try to reinstall the Python environment:
Or uninstall completely the Python environment:
and then reinstall:
This package is part of an ongoing research initiative. For detailed information about the research aspects and guidelines for use, please refer to our Research Notice.
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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