mlegp: statistical analysis for computer models of biological systems using R.
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- Record sourced from PubMed, PMID 18635570.
- Also identified by DOI 10.1093/bioinformatics/btn329 and PMC identifier 2732217.
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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
Medical subject headings
- Algorithms
- Computer Simulation
- Data Interpretation, Statistical
- Models, Biological
- Models, Statistical
- Programming Languages
- Software