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WSPsignal

Weibull Shape Parameter Tests for Signal Detection

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>.

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VersionRepositoryFileSize
1.0.0 rolling linux/jammy R-4.5 WSPsignal_1.0.0.tar.gz 2.2 MiB
1.0.0 rolling linux/noble R-4.5 WSPsignal_1.0.0.tar.gz 2.2 MiB
1.0.0 rolling source/ R- WSPsignal_1.0.0.tar.gz 312.3 KiB
1.0.0 latest linux/jammy R-4.5 WSPsignal_1.0.0.tar.gz 2.2 MiB
1.0.0 latest linux/noble R-4.5 WSPsignal_1.0.0.tar.gz 2.2 MiB
1.0.0 latest source/ R- WSPsignal_1.0.0.tar.gz 312.3 KiB
1.0.0 2026-04-23 source/ R- WSPsignal_1.0.0.tar.gz 0 B

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