R: Bayesian Dynamic Borrowing with Propensity Score

# Bayesian Dynamic Borrowing with Propensity Score

## Documentation for package ‘psborrow’ version 0.2.4

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

.clinClass | S4 Class for specifying parameters for enrollment time, drop-out pattern and analysis start time
.clinClass-class | S4 Class for specifying parameters for enrollment time, drop-out pattern and analysis start time
.covClass | S4 Class for setting up covariates
.covClass-class | S4 Class for setting up covariates
.eventClass | S4 Class for setting parameters for time-to-events
.eventClass-class | S4 Class for setting parameters for time-to-events
.priorClass | S4 Class for specifying prior distributions and predictors for MCMC methods
.priorClass-class | S4 Class for specifying prior distributions and predictors for MCMC methods
apply_mcmc | Fit Dynamic Borrowing MCMC Model
c-method | Concatenate multiple '.covClasss' classes
c-method | Concatenate multiple '.priorClasss' class
extract_samples | Fit Dynamic Borrowing MCMC Model
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_cov-method | Simulate covariates
simu_time | Simulate time-to-events for multiple scenarios
summary.apply_mcmc | Fit Dynamic Borrowing MCMC Model