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ivitr  

Estimate IV-Optimal Individualized Treatment Rules
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ivitr", "0.1.0")



Attach the package and use:
library("ivitr")
Maintained by
Bo Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-11
Latest Update: 2020-09-11
Description:
A method that estimates an IV-optimal individualized treatment rule. An individualized treatment rule is said to be IV-optimal if it minimizes the maximum risk with respect to the putative IV and the set of IV identification assumptions. Please refer to for more details on the methodology and some theory underpinning the method. Function IV-PILE() uses functions in the package 'locClass'. Package 'locClass' can be accessed and installed from the 'R-Forge' repository via the following link: . Alternatively, one can install the package by entering the following in R: 'install.packages("locClass", repos="")'.
How to cite:
Bo Zhang (2020). ivitr: Estimate IV-Optimal Individualized Treatment Rules. R package version 0.1.0, https://cran.r-project.org/web/packages/ivitr. Accessed 13 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:50), 0.1.0 (2020-09-11 10:40)
Other packages that cited ivitr R package
View ivitr citation profile
Other R packages that ivitr depends, imports, suggests or enhances
Complete documentation for ivitr
Functions, R codes and Examples using the ivitr R package
Some associated functions: IV_PILE . dt_Rouse . estimate_BP_bound . estimate_Sid_bound . 
Some associated R codes: IV_PILE.R . dt_Rouse.R . estimate_BP_bound.R . estimate_Sid_bound.R .  Full ivitr package functions and examples
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