Package: ph2bayes 0.0.2

ph2bayes: Bayesian Single-Arm Phase II Designs

An implementation of Bayesian single-arm phase II design methods for binary outcome based on posterior probability (Thall and Simon (1994) <doi:10.2307/2533377>) and predictive probability (Lee and Liu (2008) <doi:10.1177/1740774508089279>).

Authors:Kengo Nagashima [aut, cre]

ph2bayes_0.0.2.tar.gz
ph2bayes_0.0.2.zip(r-4.7-x86_64)ph2bayes_0.0.2.zip(r-4.7-arm64)ph2bayes_0.0.2.zip(r-4.6-x86_64)ph2bayes_0.0.2.zip(r-4.6-arm64)ph2bayes_0.0.2.zip(r-4.5-x86_64)
ph2bayes_0.0.2.tgz(r-4.6-x86_64)ph2bayes_0.0.2.tgz(r-4.6-arm64)ph2bayes_0.0.2.tgz(r-4.5-x86_64)ph2bayes_0.0.2.tgz(r-4.5-arm64)
ph2bayes_0.0.2.tar.gz(r-4.7-arm64)ph2bayes_0.0.2.tar.gz(r-4.7-x86_64)ph2bayes_0.0.2.tar.gz(r-4.6-arm64)ph2bayes_0.0.2.tar.gz(r-4.6-x86_64)
ph2bayes_0.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ph2bayes/json (API)

# Install 'ph2bayes' in R:
install.packages('ph2bayes', repos = c('https://nshi-stat.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/nshi-stat/ph2bayes/issues

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

On CRAN:

Conda:

cpp

2.70 score 5 scripts 292 downloads 4 exports 1 dependencies

Last updated from:44f11373dd. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK111
linux-devel-x86_64OK119
source / vignettesOK175
linux-release-arm64OK105
linux-release-x86_64OK108
macos-release-arm64OK201
macos-release-x86_64OK272
macos-oldrel-arm64OK214
macos-oldrel-x86_64OK260
windows-devel-arm64OK323
windows-devel-x86_64OK131
windows-release-arm64OK327
windows-release-x86_64OK91
windows-oldrel-x86_64OK69
wasm-releaseOK111

Exports:postprobpredprobstopbound_poststopbound_pred

Dependencies:Rcpp