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ivitr (version 0.1.0)

Estimate IV-Optimal Individualized Treatment Rules

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="")'.

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Version

Install

install.packages('ivitr')

Monthly Downloads

173

Version

0.1.0

License

GPL-3

Maintainer

Bo Zhang

Last Published

September 11th, 2020

Functions in ivitr (0.1.0)

estimate_BP_bound

Estimate the Balke-Pearl bound for each instance in a dataset
estimate_Sid_bound

Estimate the partial identification bound as in Siddique (2013, JASA) for each instance in a dataset
IV_PILE

Estimate an IV-optimal individualized treatment rule
dt_Rouse

Rouse (1995) dataset