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

Team


Insights

Last 30 days

Last 365 days

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Depends1 package
  • Imports8 packages
  • Suggests1 package
  • Linking To2 packages
  • Reverse Suggests1 package