Package: harmBounds 2.0.0

Lukas Bütikofer

harmBounds: Harm Boundaries for Clinical Trials

The harmBounds package calculates stopping probabilities, defines stopping boundaries and generates plots for safety monitoring using an event based approach.

Authors:Lukas Bütikofer [aut, cre]

harmBounds_2.0.0.tar.gz
harmBounds_2.0.0.zip(r-4.7-any)harmBounds_2.0.0.zip(r-4.6-any)harmBounds_2.0.0.zip(r-4.5-any)
harmBounds_2.0.0.tgz(r-4.6-any)harmBounds_2.0.0.tgz(r-4.5-any)
harmBounds_2.0.0.tar.gz(r-4.7-any)harmBounds_2.0.0.tar.gz(r-4.6-any)
harmBounds_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
harmBounds/json (API)

# Install 'harmBounds' in R:

install.packages('harmBounds', repos = c('https://ctu-bern.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/dcr-unibe-ch/harmbounds/issues

Pkgdown/docs site:https://dcr-unibe-ch.github.io

On CRAN:

3.60 score 1 stars 5 scripts 10 exports 25 dependencies

Last updated from:2fa64240f9. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	154
source / vignettes	OK	325
linux-release	OK	149
macos-release	OK	138
macos-oldrel	OK	89
windows-devel	OK	168
windows-release	OK	100
windows-oldrel	OK	146
wasm-release	OK	108

Exports:absstopPlot convertRisks cumstopPlot findbound getAlphaPerTest getHarmBound harmboundPlot opcharNPlot opcharStopPlot simSafetyStop

Dependencies:cli cpp11 dplyr farver generics ggplot2 glue gtable isoband labeling lifecycle magrittr pillar pkgconfig R6 RColorBrewer rlang S7 scales tibble tidyselect utf8 vctrs viridisLite withr

harmBounds

Rendered fromharmBounds.Rmdusingknitr::rmarkdown

Last update: 2026-09-25
Started: 2026-09-03

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Plot absolute stopping probabilities	absstopPlot
Convert the proportion of events in the treatment arms to risk differences and ratios (and vice versa)	convertRisks
Plot cumulative stopping probabilities	cumstopPlot
Find stopping boundary via binomial or beta-binomial distribution. For the latter, the overdispersion factor (or design effect) by which the variance exceeds the regular binomial variance is printed.	findbound
Test-wise alpha necessary to control either the family-wise type I error or the power at a specified level	getAlphaPerTest
Harm boundaries for safety testing	getHarmBound
Plot harmbounds and the observed events	harmboundPlot
Plot expected number of events	opcharNPlot
Plot cumulative stopping probabilities by hypothesis	opcharStopPlot
Plot method for harmbound objects produced by 'getHarmBound'	plot.harmbound
Simulate safety stopping	simSafetyStop