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: | 3.2.5 |
| Depends: | methods, car, survival, splines |
| Imports: | rstudioapi, scales |
| Published: | 2022-06-18 |
| 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 yahoo.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://www.r-project.org |
| NeedsCompilation: | yes |
| In views: | CausalInference |
| CRAN checks: | stepp results |
| Reference manual: | stepp.pdf |
| Package source: | stepp_3.2.5.tar.gz |
| Windows binaries: | r-devel: stepp_3.2.5.zip, r-release: stepp_3.2.5.zip, r-oldrel: stepp_3.2.5.zip |
| macOS binaries: | r-release (arm64): stepp_3.2.5.tgz, r-oldrel (arm64): stepp_3.2.5.tgz, r-release (x86_64): stepp_3.2.5.tgz, r-oldrel (x86_64): stepp_3.2.5.tgz |
| Old sources: | stepp archive |
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