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.

Documentation

Manual: pseval.pdf
Vignette: introduction

Maintainer: Michael C Sachs <sachsmc at gmail.com>

Author(s): Michael C Sachs*, Erin E Gabriel*

Install package and any missing dependencies by running this line in your R console:

install.packages("pseval")

Depends
Imports survival
Suggests ggplot2, testthat, knitr, printr, rmarkdown
Enhances
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Package pseval
Materials
URL
Task Views
Version 1.3.0
Published 2016-09-23
License MIT + file LICENSE
BugReports
SystemRequirements
NeedsCompilation no
Citation
CRAN checks pseval check results
Package source pseval_1.3.0.tar.gz