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GEMSS: Generalization Error Minimization in SubSampling

GEMSS is an R package designed for subdata selection for Gaussian Process regression under large datasets. It uses C++ acceleration (via RcppArmadillo) to sequentially select the most informative points.

Installation

You can install the development version from GitHub: ```R # install.packages(“remotes”) remotes::install_github(“szhua-stat/GEMSS”)

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.