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WSPsignal  

Weibull Shape Parameter Tests for Signal Detection
View on CRAN: Click here


Download and install WSPsignal package within the R console
Install from CRAN:
install.packages("WSPsignal")

Install from Github:
library("remotes")
install_github("cran/WSPsignal")

Install by package version:
library("remotes")
install_version("WSPsignal", "1.0.0")



Attach the package and use:
library("WSPsignal")
Maintained by
Julia Dyck
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-09
Latest Update: 2026-07-09
Description:
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>.
How to cite:
Julia Dyck (2026). WSPsignal: Weibull Shape Parameter Tests for Signal Detection. R package version 1.0.0, https://cran.r-project.org/web/packages/WSPsignal. Accessed 14 Jul. 2026.
Previous versions and publish date:
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Complete documentation for WSPsignal
Functions, R codes and Examples using the WSPsignal R package
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