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SSM: Fit and Analyze Smooth Supersaturated Models
Creates an S4 class "SSM" and defines functions for fitting smooth supersaturated models, a polynomial model with spline-like behaviour. Functions are defined for the computation of Sobol indices for sensitivity analysis and plotting the main effects using FANOVA methods. It also implements the estimation of the SSM metamodel error using a GP model with a variety of defined correlation functions.
Getting started
Browse package contents
Package details |
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| Author | Peter Curtis [aut, cre] |
| Maintainer | Peter Curtis <peterrobertcurtis@gmail.com> |
| License | GPL-3 |
| Version | 1.0.1 |
| URL | https://github.com/peterrobertcurtis/SSM |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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