R: Model-Based Standardisation for Indirect Treatment Comparison with Limited Subject-Level Data

# Model-Based Standardisation for Indirect Treatment Comparison with Limited Subject-Level Data

## Documentation for package ‘outstandR’ version 2.0.0

- DESCRIPTION file.
- Package NEWS.

## Help Pages

AC_IPD_binY_contX | Individual-level patient data for binary outcome, continuous covariates
AC_IPD_contY_mixedX | Individual-level patient data for continuous outcome, mixed covariates
AC_IPD_countY_contX | Individual-level patient data for count outcome, continuous covariates
BC_ALD_binY_contX | Aggregate level patient data for binary outcome, continuous covariates
BC_ALD_contY_mixedX | Aggregate level patient data for continuous outcome, mixed covariates
BC_ALD_countY_contX | Aggregate level patient data for count outcome, continuous covariates
calculate_ate | Calculate Average Treatment Effect
calculate_trial_mean | Calculate Trial Mean Wrapper
calculate_trial_mean_binary | Calculate Trial Mean Binary Data
calculate_trial_mean_continuous | Calculate Trial Mean Continuous Data
calculate_trial_mean_count | Calculate Trial Mean Count Data
calculate_trial_variance | Calculate trial variance
calculate_trial_variance_binary | Calculate trial variance binary
calculate_trial_variance_continuous | Calculate trial variance continuous
calculate_trial_variance_count | Calculate trial variance count
calc_ALD_stats | Aggregate-level data mean and variance statistics
calc_gcomp_bayes | Bayesian G-computation using Stan
calc_gcomp_ml | G-computation Maximum Likelihood Bootstrap
calc_IPD_stats | Calculate individual-level patient data statistics
calc_IPD_stats.default | Calculate individual-level patient data statistics
calc_IPD_stats.gcomp_bayes | Calculate individual-level patient data statistics
calc_IPD_stats.gcomp_ml | Calculate individual-level patient data statistics
calc_IPD_stats.maic | Calculate individual-level patient data statistics
calc_IPD_stats.mim | Calculate individual-level patient data statistics
calc_IPD_stats.stc | Calculate individual-level patient data statistics
estimate_var_sandwich | Estimate Variance Sandwich Estimator
get_treatment_effect | Get treatment effect scale corresponding to a link function
marginal_treatment_effect | Marginal treatment effect from reported event counts
marginal_variance | Marginal effect variance using the delta method
new_strategy | New strategy objects
outstandR | Calculate the difference between treatments using all evidence
outstandR-class | outstandR class
plot.outstandR | Default Plot Method for outstandR Objects
print.outstandR | Print a Summary of a outstandR Object
print.summary.outstandR | Summary method for outstandR
reshape_ald_to_long | Convert aggregate data from wide to long format
reshape_ald_to_wide | Convert aggregate data from long to wide format
strategy | New strategy objects
strategy-class | Strategy class and subclasses
strategy_gcomp_bayes | New strategy objects
strategy_gcomp_ml | New strategy objects
strategy_maic | New strategy objects
strategy_mim | New strategy objects
strategy_stc | New strategy objects
summary.outstandR | Summary method for outstandR