lendle/hdps: High-dimensional propensity score algorithm
Version 0.1.6

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

Package details

AuthorSam Lendle
MaintainerSam Lendle <[email protected]>
LicenseMIT + file LICENSE
Version0.1.6
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("lendle/hdps")
lendle/hdps documentation built on Aug. 18, 2017, 12:11 a.m.