Package: stepp
Type: Package
Title: Subpopulation Treatment Effect Pattern Plot (STEPP)
Version: 3.2.2
Date: 2021-01-10
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 [ctb, cre]
    Richard Gelber [ctb]
Maintainer: Wai-ki Yip <yuser86@yahoo.com>
Imports: rstudioapi, scales
Depends: methods, car, survival, splines
Collate: 'zzz.R' 'utility.R' 'stutil.R' 'stwin.R' 'stsubpop.R'
        'stmodelKM.R' 'stmodelCI.R' 'stmodelGLM.R' 'stmodel.R'
        'steppes.R' 'stepp.R'
Description: 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. 
	Bonetti M, Gelber RD (2004) <DOI:10.1093/biostatistics/5.3.465>.
	Marco Bonetti, David Zahrieh, Bernard F. Cole, and Richard D. Gelber (2009) <doi:10.1002/sim.3524>.
	Ann A. Lazar, Bernard F. Cole, Marco Bonetti, and Richard D. Gelber (2010) <doi:10.1200/JCO.2009.27.9182>.
	Lazar AA,Bonetti M,Cole BF,Yip WK,Gelber RD (2016) <doi:10.1177/1740774515609106>.
 	Wai-Ki Yip,Marco Bonetti,Bernard F Cole,William Barcella,Xin Victoria Wang,Ann Lazar,and Richard D Gelber (2016) <doi:10.1177/1740774516643297>.
	Wang XV, Cole B, Bonetti M, Gelber RD (2016) <doi:10.1002/sim.6958>.
	Wai-Ki Yip (2017, ISBN:978-3-319-48846-2).
License: GPL (>= 2)
URL: https://www.r-project.org
LazyLoad: yes
Packaged: 2021-01-10 22:56:38 UTC; wkyip
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2021-01-11 05:20:03 UTC
Built: R 4.0.2; x86_64-apple-darwin17.0; 2021-01-11 12:14:19 UTC; unix
Archs: stepp.so.dSYM
