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OptimalSurrogate  

Model Free Approach to Quantifying Surrogacy
View on CRAN: Click here


Download and install OptimalSurrogate package within the R console
Install from CRAN:
install.packages("OptimalSurrogate")

Install from Github:
library("remotes")
install_github("cran/OptimalSurrogate")

Install by package version:
library("remotes")
install_version("OptimalSurrogate", "1.0")



Attach the package and use:
library("OptimalSurrogate")
Maintained by
Layla Parast
[Scholar Profile | Author Map]
First Published: 2022-09-27
Latest Update: 2022-09-27
Description:
Identifies an optimal transformation of a surrogate marker such that the proportion of treatment effect explained can be inferred based on the transformation of the surrogate and nonparametrically estimates two model-free quantities of this proportion. Details are described in Wang et al (2020) .
How to cite:
Layla Parast (2022). OptimalSurrogate: Model Free Approach to Quantifying Surrogacy. R package version 1.0, https://cran.r-project.org/web/packages/OptimalSurrogate. Accessed 10 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited OptimalSurrogate R package
View OptimalSurrogate citation profile
Other R packages that OptimalSurrogate depends, imports, suggests or enhances
Complete documentation for OptimalSurrogate
Functions, R codes and Examples using the OptimalSurrogate R package
Some associated functions: marker_cont . marker_disc . pte_cont . pte_disc . 
Some associated R codes: functions.R .  Full OptimalSurrogate package functions and examples
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