lendle/hdps: High-dimensional propensity score algorithm
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| 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:
|
