sachsmc/pseval: Methods for Evaluating Principal Surrogates of Treatment Response

Contains the core methods for the evaluation of principal surrogates in a single clinical trial. Provides a flexible interface for defining models for the risk given treatment and the surrogate, the models for integration over the missing counterfactual surrogate responses, and the estimation methods. Estimated maximum likelihood and pseudo-score can be used for estimation, and the bootstrap for inference. A variety of post-estimation summary methods are provided, including print, summary, plot, and testing.

Getting started

Package details

MaintainerMichael C Sachs <[email protected]>
LicenseMIT + file LICENSE
Version1.3.0
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("sachsmc/pseval")
sachsmc/pseval documentation built on May 25, 2017, 11:21 p.m.