stepp: Subpopulation Treatment Effect Pattern Plot (STEPP) (original) (raw)
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 |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://www.r-project.org |
| NeedsCompilation: | yes |
| In views: | CausalInference |
| CRAN checks: | stepp results |
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