Weibull Shape Parameter Tests for Signal Detection


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Documentation for package ‘WSPsignal’ version 1.0.0

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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.