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