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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 ORCID iD [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:

Please use the canonical form https://CRAN.R-project.org/package=gscounts to link to this page.

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.
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