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simml
View on CRAN: Click
here
Download and install simml package within the R console
Install from CRAN:
install.packages("simml")
Install from Github:
library("remotes")
install_github("cran/simml")
Install by package version:
library("remotes")
install_version("simml", "0.3.0")
Attach the package and use:
library("simml")
Maintained by
Hyung Park
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-24
Latest Update: 2021-05-25
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().
How to cite:
Hyung Park (2019). simml: Single-Index Models with Multiple-Links. R package version 0.3.0, https://cran.r-project.org/web/packages/simml
Other packages that cited simml R package
View simml citation profile
Other R packages that simml depends,
imports, suggests or enhances
Functions, R codes and Examples using
the simml R package
Some associated functions: der.link . fit.simml . generate.data . ordinal.data . pred.simml . simml .
Some associated R codes: hello.R . simml.main.R . Full simml package functions and examples
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