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gscounts: Group Sequential Designs with Negative Binomial Outcomes

Design and analysis of group sequential designs for negative binomial outcomes, as described by T Mütze, E Glimm, H Schmidli, T Friede (2018) <doi:10.1177/0962280218773115>.

Version:	0.1-4
Depends:	R (≥ 3.0.0)
Imports:	stats, Rcpp (≥ 0.12.9)
LinkingTo:	Rcpp
Suggests:	testthat, MASS, knitr, rmarkdown, dplyr, gsDesign, mvtnorm
Published:	2021-11-02
DOI:	10.32614/CRAN.package.gscounts
Author:	Tobias Mütze [aut, cre]
Maintainer:	Tobias Mütze <tobias.muetze at outlook.com>
BugReports:	https://github.com/tobiasmuetze/gscounts/issues
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://github.com/tobiasmuetze/gscounts
NeedsCompilation:	yes
Citation:	gscounts citation info
Materials:	README NEWS
CRAN checks:	gscounts results

Documentation:

Reference manual:	gscounts.pdf
Vignettes:	Group sequential designs for negative binomial outcomes

Downloads:

Package source:	gscounts_0.1-4.tar.gz
Windows binaries:	r-devel: gscounts_0.1-4.zip, r-release: gscounts_0.1-4.zip, r-oldrel: gscounts_0.1-4.zip
macOS binaries:	r-release (arm64): gscounts_0.1-4.tgz, r-oldrel (arm64): gscounts_0.1-4.tgz, r-release (x86_64): gscounts_0.1-4.tgz, r-oldrel (x86_64): gscounts_0.1-4.tgz
Old sources:	gscounts archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.