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


Reference manual: ivitr.pdf


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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