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.
| Version: | 1.0.1 |
| Imports: | methods |
| Suggests: | knitr, rmarkdown |
| Published: | 2017-07-04 |
| Author: | Peter Curtis [aut, cre] |
| Maintainer: | Peter Curtis <peterrobertcurtis at gmail.com> |
| BugReports: | http://github.com/peterrobertcurtis/SSM/issues |
| License: | GPL-3 |
| URL: | https://github.com/peterrobertcurtis/SSM |
| NeedsCompilation: | no |
| Citation: | SSM citation info |
| Materials: | README |
| CRAN checks: | SSM results |
| Reference manual: | SSM.pdf |
| Vignettes: |
Smooth supersaturated models |
| Package source: | SSM_1.0.1.tar.gz |
| Windows binaries: | r-devel: SSM_1.0.1.zip, r-release: SSM_1.0.1.zip, r-oldrel: SSM_1.0.1.zip |
| macOS binaries: | r-release (arm64): SSM_1.0.1.tgz, r-oldrel (arm64): SSM_1.0.1.tgz, r-release (x86_64): SSM_1.0.1.tgz, r-oldrel (x86_64): SSM_1.0.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=SSM to link to this page.