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'))

Peer review:

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

On CRAN:

5 exports 6.18 score 0 dependencies 183 mentions 9 scripts 116 downloads

Last updated 7 years agofrom:c8e0b971cf. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 24 2024
R-4.5-winNOTEAug 24 2024
R-4.5-linuxNOTEAug 24 2024
R-4.4-winNOTEAug 24 2024
R-4.4-macNOTEAug 24 2024
R-4.3-winOKAug 24 2024
R-4.3-macOKAug 24 2024

Exports:fit.ssmlikelihood.plotsensitivity.plotshowtransform11

Dependencies:

Smooth supersaturated models

Peter Curtis

Rendered fromSSM.Rmdusingknitr::rmarkdownon Aug 24 2024.

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