Package: simml 0.3.0

Hyung Park

simml: Single-Index Models with Multiple-Links

A major challenge in estimating treatment decision rules from a randomized clinical trial dataset with covariates measured at baseline lies in detecting relatively small treatment effect modification-related variability (i.e., the treatment-by-covariates interaction effects on treatment outcomes) against a relatively large non-treatment-related variability (i.e., the main effects of covariates on treatment outcomes). The class of Single-Index Models with Multiple-Links is a novel single-index model specifically designed to estimate a single-index (a linear combination) of the covariates associated with the treatment effect modification-related variability, while allowing a nonlinear association with the treatment outcomes via flexible link functions. The models provide a flexible regression approach to developing treatment decision rules based on patients' data measured at baseline. We refer to Park, Petkova, Tarpey, and Ogden (2020) <doi:10.1016/j.jspi.2019.05.008> and Park, Petkova, Tarpey, and Ogden (2020) <doi:10.1111/biom.13320> (that allows an unspecified X main effect) for detail of the method. The main function of this package is simml().

Authors:Hyung Park, Eva Petkova, Thaddeus Tarpey, R. Todd Ogden

simml_0.3.0.tar.gz
simml_0.3.0.tar.gz(r-4.5-noble)simml_0.3.0.tar.gz(r-4.4-noble)
simml_0.3.0.tgz(r-4.4-emscripten)simml_0.3.0.tgz(r-4.3-emscripten)
simml.pdf |simml.html
simml/json (API)

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

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1.00 score 4 scripts 146 downloads 5 exports 4 dependencies

Last updated 4 years agofrom:22fdec89b8. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 02 2024
R-4.5-linuxOKDec 02 2024

Exports:fit.simmlgenerate.dataordinal.datapred.simmlsimml

Dependencies:latticeMatrixmgcvnlme