mlegp: Maximum Likelihood Estimates of Gaussian Processes

Maximum likelihood Gaussian process modeling for univariate and multi-dimensional outputs with diagnostic plots and sensitivity analysis.

Version: 2.2.6
Suggests: adapt
Published: 2009-03-08
Author: Garrett M. Dancik
Maintainer: Garrett M. Dancik <dancikg at nsula.edu>
License: GPL (≥ 2)
URL: http://users.nsula.edu/dancikg/mlegp
CRAN checks: mlegp results

Downloads:

Package source: mlegp_2.2.6.tar.gz
MacOS X binary: mlegp_2.2.6.tgz
Windows binary: mlegp_2.2.6.zip
Reference manual: mlegp.pdf
Vignettes: Sensitivity Analysis and Examples
Working with high-dimensional data (with examples)
Gaussian process modeling background
Examples: Gaussian process modeling and diagnostics
Full User Manual
Overview of mlegp
Old sources: mlegp archive