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.

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

Downloads:

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
OS X El Capitan binaries: r-release: SSM_1.0.1.tgz
OS X Mavericks binaries: r-oldrel: SSM_1.0.1.tgz

Linking:

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