Individualized Treatment Rule Learning A toolkit for individualized treatment rule learning, including frameworks like outcome weighted learning, virtue twins and etc, with a variety of machines including DNNs, random forsts, LASSO and etc.
Package details |
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| Author | Xinlei Mi [aut, cre] |
| Maintainer | Xinlei Mi <xlmi@ufl.edu> |
| License | GPL (>= 2) |
| Version | 0.1.2 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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