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.

Getting started

Package details

AuthorWai-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]
MaintainerWai-ki Yip <yuser86@yahoo.com>
LicenseGPL (>= 2)
Version3.2.7
URL https://www.r-project.org
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("stepp")

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stepp documentation built on June 22, 2024, 9:24 a.m.