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 |
| Author: |
Hyung Park, Eva Petkova, Thaddeus Tarpey, R. Todd Ogden |
| Maintainer: |
Hyung Park <parkh15 at nyu.edu> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| In views: |
CausalInference |
| CRAN checks: |
simsl results |
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