ivitr: Estimate IV-Optimal Individualized Treatment Rules

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 <doi:10.48550/arXiv.2002.02579> 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: <https://r-forge.r-project.org/projects/locclass/>. Alternatively, one can install the package by entering the following in R: 'install.packages("locClass", repos="<http://R-Forge.R-project.org>")'.

Version:	0.1.0
Depends:	R (≥ 2.10)
Imports:	stats, nnet, randomForest, dplyr, rlang
Suggests:	locClass
Published:	2020-09-11
DOI:	10.32614/CRAN.package.ivitr
Author:	Bo Zhang
Maintainer:	Bo Zhang <bozhan at wharton.upenn.edu>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	ivitr results

Documentation:

Reference manual:

ivitr.html , ivitr.pdf

Downloads:

Package source:	ivitr_0.1.0.tar.gz
Windows binaries:	r-devel: ivitr_0.1.0.zip, r-release: ivitr_0.1.0.zip, r-oldrel: ivitr_0.1.0.zip
macOS binaries:	r-release (arm64): ivitr_0.1.0.tgz, r-oldrel (arm64): ivitr_0.1.0.tgz, r-release (x86_64): ivitr_0.1.0.tgz, r-oldrel (x86_64): ivitr_0.1.0.tgz

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