SurrogateParadoxTest: Empirical Testing of Surrogate Paradox Assumptions

Provides functions to nonparametrically assess assumptions necessary to prevent the surrogate paradox through hypothesis tests of stochastic dominance, monotonicity of regression functions, and non-negative residual treatment effects. More details are available in Hsiao et al 2025 (under review). A tutorial for this package can be found at <https://laylaparast.com/home/SurrogateParadoxTest.html>.

Version: 2.0
Imports: stats, MonotonicityTest
Published: 2025-01-20
DOI: 10.32614/CRAN.package.SurrogateParadoxTest
Author: Emily Hsiao [aut, cre]
Maintainer: Emily Hsiao <ehsiao at utexas.edu>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: SurrogateParadoxTest results

Documentation:

Reference manual: SurrogateParadoxTest.pdf

Downloads:

Package source: SurrogateParadoxTest_2.0.tar.gz
Windows binaries: r-devel: SurrogateParadoxTest_1.0.zip, r-release: SurrogateParadoxTest_2.0.zip, r-oldrel: SurrogateParadoxTest_1.0.zip
macOS binaries: r-release (arm64): SurrogateParadoxTest_1.0.tgz, r-oldrel (arm64): SurrogateParadoxTest_1.0.tgz, r-release (x86_64): SurrogateParadoxTest_1.0.tgz, r-oldrel (x86_64): SurrogateParadoxTest_1.0.tgz
Old sources: SurrogateParadoxTest archive

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