The high-dimensional propensity score algorithm is a method for high-dimensional proxy adjustment in claims data. This package implements the variable transformation and variable selection parts of the algorithm.
Package details |
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Author | Sam Lendle |
Maintainer | Sam Lendle <sam.lendle@gmail.com> |
License | MIT + file LICENSE |
Version | 0.1.6 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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