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" <arXiv:2006.00267v2> 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 |
| CRAN checks: | simsl results |
| Reference manual: | simsl.pdf |
| Package source: | simsl_0.2.1.tar.gz |
| Windows binaries: | r-devel: simsl_0.2.1.zip, r-release: simsl_0.2.1.zip, r-oldrel: simsl_0.2.1.zip |
| macOS binaries: | r-release: simsl_0.2.1.tgz, r-oldrel: simsl_0.2.1.tgz |
| Old sources: | simsl archive |
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