Package: mlegp 3.1.9

Garrett M. Dancik

mlegp: Maximum Likelihood Estimates of Gaussian Processes

Maximum likelihood Gaussian process modeling for univariate and multi-dimensional outputs with diagnostic plots following Santner et al (2003) <doi:10.1007/978-1-4757-3799-8>. Contact the maintainer for a package version that includes sensitivity analysis.

Authors:Garrett M. Dancik

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mlegp.pdf |mlegp.html✨
mlegp/json (API)

# Install 'mlegp' in R:
install.packages('mlegp', repos = 'https://cloud.r-project.org')
Uses libs:
  • openblas– Optimized BLAS

On CRAN:

Conda-Forge:

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

openblas

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Exports:anyRepscalcCorOneObscalcLogLikeManualcalcPredictionErrorcalcPredictionErrorCVcalcVarMatrixcreateGPcreateWindowCVestimateNuggetfitGPfromRgetSingularValuesgp.listgpDimgpObsis.gpis.gp.listmatchIndexesmlegpmlegp2numSingularValuespcweightsplot.gpplot.gp.listplotObservedEffectsplotObservedEffects.gpplotObservedEffectsDefaultpredict.gppredictMupredictNewYCVpredictNewZprint.gpprint.gp.listsetGPNamessetParamssingularValueImportancesummary.gpsummary.gp.listtoParamIndexesuniqueSummaryvarPerReps

Dependencies:

Full User Manual

Rendered frommlegp.Rnwusingutils::Sweaveon Mar 07 2025.

Last update: 2018-01-30
Started: 2018-01-30

Citation

Dancik, GM and Dorman, KS (2008). mlegp: statistical analysis for computer models of biological systems using R. Bioinformatics 24(17), pp. 1966-1967

Corresponding BibTeX entry: 

  @Article{,
    author = {Garrett M Dancik and Karin S Dorman},
    title = {{mlegp}: statistical analysis for computer models of
      biological systems using R},
    journal = {Bioinformatics},
    year = {2008},
    volume = {24},
    number = {17},
    pages = {1966 1967},
  }