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CSTE  

Covariate Specific Treatment Effect (CSTE) Curve
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CSTE", "3.0.0")



Attach the package and use:
library("CSTE")
Maintained by
Wenjie Hu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-07
Latest Update: 2024-11-19
Description:
A uniform statistical inferential tool in making individualized treatment decisions, which implements the methods of Ma et al. (2017) and Guo et al. (2021). It uses a flexible semiparametric modeling strategy for heterogeneous treatment effect estimation in high-dimensional settings and can gave valid confidence bands. Based on it, one can find the subgroups of patients that benefit from each treatment, thereby making individualized treatment selection.
How to cite:
Wenjie Hu (2021). CSTE: Covariate Specific Treatment Effect (CSTE) Curve. R package version 3.0.0, https://cran.r-project.org/web/packages/CSTE. Accessed 28 Oct. 2026.
Previous versions and publish date:
1.0 (2021-09-07 11:20), 2.0.0 (2021-12-16 04:42), (2026-07-09 08:00)
Other packages that cited CSTE R package
View CSTE citation profile
Other R packages that CSTE depends, imports, suggests or enhances
Complete documentation for CSTE
Functions, R codes and Examples using the CSTE R package
Some associated functions: cste_bin . cste_bin_SCB . cste_surv . cste_surv_SCB . penC . predict_cste_bin . select_cste_bin . tool . 
Some associated R codes: RcppExports.R . Tools.R . cste_bin.R . cste_bin_SCB.R . cste_surv.R . cste_surv_SCB.R . pkg.R . predict_cste_bin.R . select_cste_bin.R . transformfunction.R .  Full CSTE package functions and examples
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