Single-Index Models with a Surface-Link
Overview
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().
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Hyung Park <parkh15@nyu.edu>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = "Hyung",
family = "Park",
role = c("aut", "cre"),
email = "parkh15@nyu.edu"),
person(given = "Eva",
family = "Petkova",
role = "aut"),
person(given = "Thaddeus",
family = "Tarpey",
role = "aut"),
person(given = c("R.", "Todd"),
family = "Ogden",
role = "aut"))
as necessary.
The Description field contains
dose rules" <arXiv:2006.00267v2> for detail of the method. The model
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 6
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
- 33%
- Documented parameters
- 94%
- Return-value docs
- 100%
- Help pages citing references
- 33%
Downloads
Dependencies
Installing simsl adds no packages beyond those that come with R.
Code & Tests
Datasets
People & History
Maintainer since 0.1.0 (2019)
Show 8 peopleHide 8 people
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.2.1Latest
- 0.2.02021-02-08 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 0.1.02019-10-09
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-10-09
- Total releases
- 3 / 7 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 185 KB / 2 files
- Download size
- 178 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("simsl")Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.