simsl: Single-Index Models with a Surface-Link

An implementation of a single-index regression for optimizing individualized dose rules from an observational study. To model interaction effects between baseline covariates and a treatment variable defined on a continuum, we employ two-dimensional penalized spline regression on an index-treatment domain, where the index is defined as a linear combination of the covariates (a single-index). An unspecified main effect for the covariates is allowed, which can also be modeled through a parametric model. A unique contribution of this work is in the parsimonious single-index parametrization specifically defined for the interaction effect term. We refer to Park, Petkova, Tarpey, and Ogden (2020) <doi:10.1111/biom.13320> (for the case of a discrete treatment) and Park, Petkova, Tarpey, and Ogden (2021) "A single-index model with a surface-link for optimizing individualized dose rules" <doi:10.48550/arXiv.2006.00267> for detail of the method. The model can take a member of the exponential family as a response variable and can also take an ordinal categorical response. The main function of this package is simsl().

Version: 0.2.1
Depends: R (≥ 3.5.0)
Imports: mgcv, stats
Published: 2021-02-12
DOI: 10.32614/CRAN.package.simsl
Author: Hyung Park, Eva Petkova, Thaddeus Tarpey, R. Todd Ogden
Maintainer: Hyung Park <parkh15 at>
License: GPL-3
NeedsCompilation: no
In views: CausalInference
CRAN checks: simsl results


Reference manual: simsl.pdf


Package source: simsl_0.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): simsl_0.2.1.tgz, r-oldrel (arm64): simsl_0.2.1.tgz, r-release (x86_64): simsl_0.2.1.tgz, r-oldrel (x86_64): simsl_0.2.1.tgz
Old sources: simsl archive


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