stepp: Subpopulation Treatment Effect Pattern Plot (STEPP)

A method to explore the treatment-covariate interactions in survival or generalized linear model (GLM) for continuous, binomial and count data arising from two or more treatment arms of a clinical trial. A permutation distribution approach to inference is implemented, based on permuting the covariate values within each treatment group.

Version: 3.2.7
Depends: methods, car, survival, splines
Imports: rstudioapi, scales
Published: 2024-06-03
DOI: 10.32614/CRAN.package.stepp
Author: Wai-ki Yip [aut, cre], Ann Lazar [ctb], David Zahrieh [ctb], Chip Cole [ctb], Ann Lazar [ctb], Marco Bonetti [ctb], Victoria Wang [ctb], William Barcella [ctb], Sergio Venturini [aut] Richard Gelber [ctb]
Maintainer: Wai-ki Yip <yuser86 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: CausalInference
CRAN checks: stepp results


Reference manual: stepp.pdf


Package source: stepp_3.2.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): stepp_3.2.7.tgz, r-oldrel (arm64): stepp_3.2.7.tgz, r-release (x86_64): stepp_3.2.7.tgz, r-oldrel (x86_64): stepp_3.2.7.tgz
Old sources: stepp archive


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