Function reference • psborrow

All functions

apply_mcmc() extract_samples() summary(<apply_mcmc>): Fit Dynamic Borrowing MCMC Model

c(<.covClass>): Concatenate multiple .covClasss classes

c(<.priorClass>): Concatenate multiple .priorClasss class

.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

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