Package: GPM 3.0.1

Ramin Bostanabad

GPM: Gaussian Process Modeling of Multi-Response and Possibly Noisy Datasets

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.

Authors:Ramin Bostanabad, Tucker Kearney, Siyo Tao, Daniel Apley, and Wei Chen

GPM_3.0.1.tar.gz
GPM_3.0.1.tar.gz(r-4.5-noble)GPM_3.0.1.tar.gz(r-4.4-noble)
GPM_3.0.1.tgz(r-4.4-emscripten)GPM_3.0.1.tgz(r-4.3-emscripten)
GPM.pdf |GPM.html✨
GPM/json (API)

# Install 'GPM' in R:
install.packages('GPM', repos = 'https://cloud.r-project.org')
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascppopenmp

2.00 score 230 downloads 71 mentions 11 exports 11 dependencies

Last updated 6 years agofrom:0d1b5a1f18. Checks:1 OK, 2 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 05 2025
R-4.5-linux-x86_64NOTEMar 05 2025
R-4.4-linux-x86_64NOTEMar 05 2025

Exports:AuxilCorrMat_SymCorrMat_VecCppSolveDrawEigenFitLowerCholNLogLNLogL_GPredict

Dependencies:codetoolsdoParallelforeachiteratorslatticelhspracmarandtoolboxRcppRcppArmadillorngWELL

Citation

To cite package ‘GPM’ in publications use:

Bostanabad R, Kearney T, Tao S, Apley D, Chen W (2019). GPM: Gaussian Process Modeling of Multi-Response and Possibly Noisy Datasets. R package version 3.0.1, https://CRAN.R-project.org/package=GPM.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {GPM: Gaussian Process Modeling of Multi-Response and
      Possibly Noisy Datasets},
    author = {Ramin Bostanabad and Tucker Kearney and Siyo Tao and
      Daniel Apley and Wei Chen},
    year = {2019},
    note = {R package version 3.0.1},
    url = {https://CRAN.R-project.org/package=GPM},
  }