| WSPsignal-package | The 'WSPsignal' package. |
| bwsp_model | Fit Bayesian model to time-to-event data |
| bwsp_test | Bayesian Weibull Shape Parameter Test |
| dpgw | The power generalized Weibull distribution |
| eval.calc_perf | Compute performance metrics for WSP test configurations |
| eval.eff_sample_sizes | Evaluate effective sample sizes |
| eval.execution_times | Evaluate execution times |
| eval.non_conv_cases | Evaluate number of non-convergence cases |
| eval.rank_auc | Ranking of WSP test configurations |
| eval.roc_curve | Plot ROC curves for top WSP test specifications |
| fwsp_model | Fit frequentist model to time-to-event data |
| fwsp_test | Frequentist Weibull Shape Parameter Test |
| hpgw | The power generalized Weibull distribution |
| muscu | Simulated musculoskeletal pain time-to-event dataset |
| muscu2 | Simulated musculoskeletal pain time-to-event dataset |
| pgw | The power generalized Weibull distribution |
| plot_pgw | Plot functions of the power generalized Weibull distribution |
| ppgw | The power generalized Weibull distribution |
| qpgw | The power generalized Weibull distribution |
| rpgw | The power generalized Weibull distribution |
| sim.datagen_tte | Generate simulated time-to-event data |
| sim.merge_results | Merge result table batches from simulation study |
| sim.priors_template | Template for prior specification in simulation study |
| sim.run | Run simulation |
| sim.run_parallel | Run simulation (in parallel) |
| sim.setup_sim_pars | Set up simulation parameters |
| spgw | The power generalized Weibull distribution |
| tte | test time-to-event dataset |
| tte2priordat | Prior and data setup for Bayesian survival model fitting |
| WSPsignal | The 'WSPsignal' package. |