Man pages for psborrow
Bayesian Dynamic Borrowing with Propensity Score

add_covSimulate covariates with a multivariate normal distribution
add_mcmcGenerating posterior samples from MCMC
add_timeSimulate survival times
apply_mcmcFit Dynamic Borrowing MCMC Model
c-.covClass-methodConcatenate multiple '.covClasss' classes
c-.priorClass-methodConcatenate multiple '.priorClasss' class
dot-clinClass-classS4 Class for specifying parameters for enrollment time,...
dot-covClass-classS4 Class for setting up covariates
dot-eventClass-classS4 Class for setting parameters for time-to-events
dot-priorClass-classS4 Class for specifying prior distributions and predictors...
fix_col_namesFix Column Names
get_summaryGenerate summary statistics of a simulation scenario
is_psborrow_devCheck if user is in psborrow development environment
match_covMatch
plot_biasPlot bias
plot_hrPlot mean posterior hazard ratio between treatment and...
plot_msePlot mean squared error (MSE)
plot_powerPlot power
plot_type1errorPlot type 1 error
ps_messageConditional Message
rej_estGenerate summary statistics for the MCMC chains
run_mcmcRun MCMC for multiple scenarios with provided data
run_mcmc_pRun MCMC for multiple scenarios with provided data with...
set_clinSpecify parameters for enrollment time, drop-out pattern and...
set_covSet up covariates
set_eventSet up time-to-events
set_nSimulate external trial indicator and treatment arm indicator
set_priorSpecify prior distributions and predictors for MCMC methods
simu_covSimulate covariates
simu_timeSimulate time-to-events for multiple scenarios
valid_mcmcvalidate the operational parameters for MCMC method
psborrow documentation built on March 7, 2023, 8:32 p.m.