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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.
Package details |
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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@yahoo.com> |
License | GPL (>= 2) |
Version | 3.2.7 |
URL | https://www.r-project.org |
Package repository | View on CRAN |
Installation |
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