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quantoptr  

Algorithms for Quantile- And Mean-Optimal Treatment Regimes
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("quantoptr", "0.1.3")



Attach the package and use:
library("quantoptr")
Maintained by
Yu Zhou
[Scholar Profile | Author Map]
First Published: 2017-03-11
Latest Update: 2018-02-05
Description:
Estimation methods for optimal treatment regimes under three different criteria, namely marginal quantile, marginal mean, and mean absolute difference. For the first two criteria, both one-stage and two-stage estimation method are implemented. A doubly robust estimator for estimating the quantile-optimal treatment regime is also included.
How to cite:
Yu Zhou (2017). quantoptr: Algorithms for Quantile- And Mean-Optimal Treatment Regimes. R package version 0.1.3, https://cran.r-project.org/web/packages/quantoptr. Accessed 05 May. 2025.
Previous versions and publish date:
0.1.2 (2017-03-11 18:17)
Other packages that cited quantoptr R package
View quantoptr citation profile
Other R packages that quantoptr depends, imports, suggests or enhances
Complete documentation for quantoptr
Functions, R codes and Examples using the quantoptr R package
Some associated functions: DR_Qopt . IPWE_MADopt . IPWE_Mopt . IPWE_Qopt . TwoStg_Mopt . TwoStg_Qopt . abso_diff_est . augX . dr_quant_est . get_os . mean_est . mestimate . qestimate . quant_est . 
Some associated R codes: Abso_diff_est.R . DR_Qopt.R . IPWE_MADopt.R . IPWE_Mopt.R . IPWE_Qopt.R . TwoStg_Mopt.R . TwoStg_Qopt.R . dr_quant_est.R . mean_est.R . mestimate.R . misc.R . qestimate.R . quant_est.R . quantoptr.R .  Full quantoptr package functions and examples
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