Title: R infrastructure for training and applying geochemical surrogate models to reactive transport.
Version: 0.0.3
Version: 0.0.4
Authors@R: c(person("Marco", "De Lucia", email = "delucia@gfz-potsdam.de", role = c("aut", "cre")),
person("Janis", "Jatnieks", email = "deltaxzz@gmail.com", role = c("ctb")))
Description: In the framework of RedMod project, we develop an R infrastructure for training and applying geochemical surrogate models to reactive transport.
@@ -4,3 +4,4 @@ demo-eq-generate-data Generate the training data set from 3 equilibrium simulati
demo-eq-surr-RF Generate the training data set for equilibrium simulations, train randomForest surrogates and perform Reactive Transport simulations using them
demo-kin-surr-RF Generate the training data set for kinetic simulations, train randomForest surrogates and perform Reactive Transport simulations using them
demo-eq-TrainMultiple Uses the UNSTABLE infrastructure for comparing different trained surrogates
demo-gmd2020-445 Pointer to the actual gitlab repository for the code
cat(":: To retrieve and run the code used in the preprint 'gmd2020-445', \n:: please follow the instructions on <https://git.gfz-potsdam.de/delucia/gmd2020-445>")