Package: SSM 1.0.1

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.

Authors:Peter Curtis [aut, cre]

SSM_1.0.1.tar.gz
SSM_1.0.1.zip(r-4.5)SSM_1.0.1.zip(r-4.4)SSM_1.0.1.zip(r-4.3)
SSM_1.0.1.tgz(r-4.4-any)SSM_1.0.1.tgz(r-4.3-any)
SSM_1.0.1.tar.gz(r-4.5-noble)SSM_1.0.1.tar.gz(r-4.4-noble)
SSM_1.0.1.tgz(r-4.4-emscripten)SSM_1.0.1.tgz(r-4.3-emscripten)
SSM.pdf |SSM.html✨
SSM/json (API)

# Install 'SSM' in R:
install.packages('SSM', repos = c('https://peterrobertcurtis.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/peterrobertcurtis/ssm/issues

On CRAN:

4.70 score 9 scripts 123 downloads 183 mentions 5 exports 0 dependencies

Last updated 8 years agofrom:c8e0b971cf. Checks:3 OK, 4 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 21 2025
R-4.5-winNOTEJan 21 2025
R-4.5-linuxNOTEJan 21 2025
R-4.4-winNOTEJan 21 2025
R-4.4-macNOTEJan 21 2025
R-4.3-winOKJan 21 2025
R-4.3-macOKJan 21 2025

Exports:fit.ssmlikelihood.plotsensitivity.plotshowtransform11

Dependencies:

Smooth supersaturated models

Peter Curtis

Rendered fromSSM.Rmdusingknitr::rmarkdownon Jan 21 2025.

Last update: 2017-01-18
Started: 2017-01-18