Weibull Shape Parameter Tests for Signal Detection R package WSPsignal version 1.0.0 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>. Software Depends: R (>= 3.5.0) Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.4.0), Rdpack, HDInterval, ROCR, stats, graphics, magrittr, dplyr, tidyr, ggplot2, survival, furrr LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0) Julia Dyck <j.dyck@uni-bielefeld.de> Comprehensive R Archive Network (CRAN) Julia Dyck [cre], Julia Dyck [aut], Odile Sauzet [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=WSPsignal/LICENSE) 2026-07-09 application/tgz https://CRAN.R-project.org/package=WSPsignal doi:10.32614/CRAN.package.WSPsignal