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.
|Maintainer||Sam Lendle <[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on GitHub|
Install the latest version of this package by entering the following in R:
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.