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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.

Version: 1.3.1
Imports: survival
Suggests: ggplot2, testthat, knitr, printr, rmarkdown
Published: 2019-01-28
DOI: 10.32614/CRAN.package.pseval
Author: Michael C Sachs [aut, cre], Erin E Gabriel [aut]
Maintainer: Michael C Sachs <sachsmc at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: pseval citation info
Materials: README NEWS
In views: MissingData
CRAN checks: pseval results

Documentation:

Reference manual: pseval.pdf
Vignettes: introduction

Downloads:

Package source: pseval_1.3.1.tar.gz
Windows binaries: r-devel: pseval_1.3.1.zip, r-release: pseval_1.3.1.zip, r-oldrel: pseval_1.3.1.zip
macOS binaries: r-release (arm64): pseval_1.3.1.tgz, r-oldrel (arm64): pseval_1.3.1.tgz, r-release (x86_64): pseval_1.3.1.tgz, r-oldrel (x86_64): pseval_1.3.1.tgz
Old sources: pseval archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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