Package: gscounts 0.1-4.9000

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>.

Authors:Tobias Mütze [aut, cre]

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NEWS

# Install 'gscounts' in R:
install.packages('gscounts', repos = c('https://tobiasmuetze.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/tobiasmuetze/gscounts/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

6 exports 2 stars 0.84 score 1 dependencies 11 scripts 240 downloads

Last updated 1 years agofrom:d64223e047. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-win-x86_64OKAug 22 2024
R-4.5-linux-x86_64OKAug 22 2024
R-4.4-win-x86_64OKAug 22 2024
R-4.4-mac-x86_64OKAug 22 2024
R-4.4-mac-aarch64OKAug 22 2024
R-4.3-win-x86_64OKAug 22 2024
R-4.3-mac-x86_64OKAug 22 2024
R-4.3-mac-aarch64OKAug 22 2024

Exports:design_gsnbdesign_nbget_calendartime_gsnbget_info_gsnbobrienpocock

Dependencies:Rcpp

Group sequential designs for negative binomial outcomes using gscounts

Tobias Mütze

Rendered fromIntroduction_gscounts.Rmdusingknitr::rmarkdownon Aug 22 2024.

Last update: 2021-11-01
Started: 2017-05-02