R: Weibull Shape Parameter Tests for Signal Detection

# Weibull Shape Parameter Tests for Signal Detection

## Documentation for package ‘WSPsignal’ version 1.0.0

- DESCRIPTION file
- Package README

## Help Pages

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.