peterrobertcurtis/SSM: Fit and Analyze Smooth Supersaturated Models
Version 1.0.1

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

Package details

Maintainer
LicenseGPL-3
Version1.0.1
URL https://github.com/peterrobertcurtis/SSM
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("peterrobertcurtis/SSM")
peterrobertcurtis/SSM documentation built on July 5, 2017, 7:40 p.m.