Package index • outstandR

Main

Main analysis functions.

outstandR(): Calculate the difference between treatments using all evidence

strategy_maic() strategy_stc() strategy_gcomp_ml() strategy_gcomp_bayes() strategy_mim() new_strategy(): New strategy objects

Constituent statistics

Helper functions used by the main functions.

calc_ALD_stats(): Aggregate-level data mean and variance statistics

calc_IPD_stats(): Calculate individual-level patient data statistics

marginal_treatment_effect(): Marginal treatment effect from reported event counts

marginal_variance(): Marginal effect variance using the delta method

calculate_trial_variance(): Calculate trial variance

calculate_ate(): Calculate Average Treatment Effect

estimate_var_sandwich(): Estimate Variance Sandwich Estimator

calc_gcomp_ml(): G-computation Maximum Likelihood Bootstrap

calc_gcomp_bayes(): G-computation using Stan

calc_stc(): Calculate simulated treatment comparison statistics

find_conversion_path(): recursive function to find conversion path

get_treatment_effect(): Get treatment effect scale corresponding to a link function

IPD_stat_factory(): Factory function for creating calc_IPD_stats methods

BC_ALD_long: Data set for aggregate level patient data in long format

get_ref_trt(): Get reference treatment

validate_outstandr(): Input data validator

Miscellaneous

print(<outstandR>): Print a Summary of a outstandR Object

reshape_ald_to_long(): Convert from wide to long format

reshape_ald_to_wide(): Convert from long to wide format

Data

AC_IPD: Data set for individual level patient data

BC_ALD: Data set for aggregate level patient data in wide format