Weibull Shape Parameter Tests for Signal Detection
Overview
Implementation of Bayesian and frequentist Weibull Shape Parameter (WSP) tests for signal detection in pharmacovigilance based on right-censored time-to-event data to flag associations between drugs and adverse events. The WSP test is based on the assumption of constant hazard reflected by a Weibull type distribution with shape parameters equal to one. Based on the shape parameter estimates (posterior distribution or point estimate), the WSP test method performs a hypothesis test on each shape parameter and combines them to a decision on the presence of a signal. Methods described in Sauzet and Cornelius (2022) doi:10.3389/fphar.2022.889088, Sauzet et al. (2024) doi:10.1007/s40264-024-01460-2, and Dyck and Sauzet (2025) doi:10.48550/arXiv.2412.05463.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-07-29
Show 2 earlier changesHide 2 earlier changes
- ERROR12 OK, 1 ERROR2026-07-27
- OK8 OK2026-07-10
Documentation
- Help pages
- 23includes a package overview page
- Examples that run
- 89%16 run in a plain check · 2 never run
- Exported functions with examples
- 95%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 57% with a bibliography file
Downloads
Dependencies
Installing WSPsignal adds 68 packages (33 with compiled code, 65 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.
Code & Tests
Datasets
People & History
- 1.0.0Latest2026-07-09 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-07-09
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 2.1 KB / 3 files
- Download size
- 313 KB
Cite
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