GPM

Gaussian Process Modeling of Multi-Response and Possibly Noisy Datasets

CRAN Package

Provides a general and efficient tool for fitting a response surface to a dataset via Gaussian processes. The dataset can have multiple responses and be noisy (with stationary variance). The fitted GP model can predict the gradient as well. The package is based on the work of Bostanabad, R., Kearney, T., Tao, S. Y., Apley, D. W. & Chen, W. (2018) Leveraging the nugget parameter for efficient Gaussian process modeling. International Journal for Numerical Methods in Engineering, 114, 501-516.

  • Version3.0.1
  • R version≥ 3.5
  • LicenseGPL-2
  • Needs compilation?Yes
  • Last release03/21/2019

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  • Imports8 packages
  • Suggests1 package
  • Linking To2 packages
  • Reverse Suggests1 package