.clinClass-class        S4 Class for specifying parameters for
                        enrollment time, drop-out pattern and analysis
                        start time
.covClass-class         S4 Class for setting up covariates
.eventClass-class       S4 Class for setting parameters for
                        time-to-events
.priorClass-class       S4 Class for specifying prior distributions and
                        predictors for MCMC methods
apply_mcmc              Fit Dynamic Borrowing MCMC Model
c,.covClass-method      Concatenate multiple '.covClasss' classes
c,.priorClass-method    Concatenate multiple '.priorClasss' class
fix_col_names           Fix Column Names
get_summary             Generate summary statistics of a simulation
                        scenario
is_psborrow_dev         Check if user is in psborrow development
                        environment
match_cov               Match
plot_bias               Plot bias
plot_hr                 Plot mean posterior hazard ratio between
                        treatment and control
plot_mse                Plot mean squared error (MSE)
plot_power              Plot power
plot_type1error         Plot type 1 error
ps_message              Conditional Message
rej_est                 Generate summary statistics for the MCMC chains
run_mcmc                Run MCMC for multiple scenarios with provided
                        data
run_mcmc_p              Run MCMC for multiple scenarios with provided
                        data with parallel processing
set_clin                Specify parameters for enrollment time,
                        drop-out pattern and analysis start time
set_cov                 Set up covariates
set_event               Set up time-to-events
set_n                   Simulate external trial indicator and treatment
                        arm indicator
set_prior               Specify prior distributions and predictors for
                        MCMC methods
simu_cov                Simulate covariates
simu_time               Simulate time-to-events for multiple scenarios
