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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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