Software
R Packages
The following packages implement methods developed in our research on Gaussian process modeling, computer experiments, calibration, and multi-fidelity emulation.
MuFiMeshGPMulti-fidelity emulator for computer experiments with tunable fidelity levels.

DNAmfDiffusion non-additive model with tunable precision.

RNAmfRecursive non-additive emulator for multi-fidelity data.

mcGPMesh-clustered Gaussian process emulator for PDE boundary value problems.

GPclusterClustered Gaussian process modeling for computer experiments.

HetCalibrateCalibration parameter estimation for inexact computer models with heteroscedastic errors.

binaryGPGaussian process modeling for time-series binary responses.

MRFAMulti-resolution functional ANOVA for large-scale nonlinear regression.

Research Code & Reproducibility
Code repositories for reproducing results in our published work.
2025+ • GitHub repository
2024+ • GitHub repository
2025 • SIAM/ASA Journal on Uncertainty Quantification
2024 • Journal of Quality Technology
2024 • SIAM/ASA Journal on Uncertainty Quantification
2024 • Journal of the Royal Statistical Society: Series C
2022 • SIAM/ASA Journal on Uncertainty Quantification
2022 • Annals of Applied Statistics
2018 • Journal of the American Statistical Association