GBASS - An Emulator for Stochastic Computer Models

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Description

GBASS (Generalized Bayesian Additive Spline Surfaces) is an R package for fitting BASS models with flexible likelihoods including the $t$, Horseshoe, Asymmetric Laplace (for quantile regression) and Normal-Wald likelihoods. The package provides an implementation of the method proposed in Rumsey et. al. (2023). To work with the gbass() function, priors for the global variance factor $w$ and local variance factors $v_i$ should be specified as a GIG prior (or a GBP prior). Helpful wrappers tbass(), qbass() and nwbass() are also provided for some important familiar cases.

Installation

To install the GBASS package, type

# install.packages("devtools")
devtools::install_github("knrumsey/GBASS")

Copyright Notice

© 2021. Triad National Security, LLC. All rights reserved.

This program was produced under U.S. Government contract 89233218CNA000001 for Los Alamos National Laboratory (LANL), which is operated by Triad National Security, LLC for the U.S. Department of Energy/National Nuclear Security Administration. All rights in the program are reserved by Triad National Security, LLC, and the U.S. Department of Energy/National Nuclear Security Administration. The Government is granted for itself and others acting on its behalf a nonexclusive, paid-up, irrevocable worldwide license in this material to reproduce, prepare derivative works, distribute copies to the public, perform publicly and display publicly, and to permit others to do so.