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-4.5-any)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:

Conda:

4.70 score 9 scripts 103 downloads 183 mentions 5 exports 0 dependencies

Last updated 8 years agofrom:c8e0b971cf. Checks:3 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 22 2025
R-4.5-winNOTEMar 22 2025
R-4.5-macNOTEMar 22 2025
R-4.5-linuxNOTEMar 22 2025
R-4.4-winNOTEMar 22 2025
R-4.4-macNOTEMar 22 2025
R-4.4-linuxNOTEMar 22 2025
R-4.3-winOKMar 22 2025
R-4.3-macOKMar 22 2025

Exports:fit.ssmlikelihood.plotsensitivity.plotshowtransform11

Dependencies:

Smooth supersaturated models

Peter Curtis

Rendered fromSSM.Rmdusingknitr::rmarkdownon Mar 22 2025.

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