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mlegp: statistical analysis for computer models of biological systems using R.

Research paper by Garrett M GM Dancik, Karin S KS Dorman

Indexed on: 19 Jul '08Published on: 19 Jul '08Published in: Bioinformatics (Oxford, England)



Abstract

Gaussian processes (GPs) are flexible statistical models commonly used for predicting output from complex computer codes. As such, GPs are well suited for the analysis of computer models of biological systems, which have been traditionally difficult to analyze due to their high-dimensional, non-linear and resource-intensive nature. We describe an R package, mlegp, that fits GPs to computer model outputs and performs sensitivity analysis to identify and characterize the effects of important model inputs.http://www.biomath.org/mlegp