Package: simml
Type: Package
Title: Single-Index Models with Multiple-Links
Version: 0.3.0
Author: Hyung Park, Eva Petkova, Thaddeus Tarpey, R. Todd Ogden
Maintainer: Hyung Park <parkh15@nyu.edu>
Description: 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().
License: GPL-3
Imports: mgcv
Encoding: UTF-8
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2021-05-25 06:36:55 UTC; parkh15
Repository: CRAN
Date/Publication: 2021-05-25 06:50:02 UTC
Built: R 4.6.0; ; 2026-04-27 20:15:01 UTC; unix
