# Utility Functions to Support and Extend the 'rbmi' Package

## Documentation for package ‘rbmiUtils’ version 0.3.0

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

## Help Pages

ADEFF | Example efficacy trial dataset
ADMI | Example multiple imputation trial dataset
analyse_mi_data | Apply Analysis Function to Multiple Imputed Datasets
combine_results | Combine Results Across Multiple Analyses
create_impid | Create IMPID Column for Imputed Datasets
describe_draws | Describe an rbmi Draws Object
describe_imputation | Describe an rbmi Imputation Object
efficacy_table | Create Regulatory-Style Efficacy Summary Table
expand_imputed_data | Expand Reduced Imputed Data to Full Dataset
extract_lsm | Extract Least Squares Means
extract_trt_effects | Extract Treatment Effect Estimates
format_estimate | Format Estimate with Confidence Interval
format_pvalue | Format P-values for Publication
format_results | Format Results for Reporting
format_results_table | Format Results Table for Publication
gcomp_binary | Utility function for Generalized G-computation for Binary Outcomes
gcomp_responder | G-computation Analysis for a Single Visit
gcomp_responder_multi | G-computation for a Binary Outcome at Multiple Visits
get_imputed_data | Get Imputed Data Sets as a data frame
plot_forest | Create a Forest Plot from an rbmi Pool Object
pool_to_ard | Convert Pool Object to ARD Format
prepare_data_ice | Prepare Intercurrent Event Data
print.analysis | Print Method for Analysis Objects
print.describe_draws | Print Method for describe_draws Objects
print.describe_imputation | Print Method for describe_imputation Objects
print.pool | Print Method for Pool Objects
reduce_imputed_data | Reduce Imputed Data for Efficient Storage
summarise_missingness | Summarise Missing Data Patterns
summary.analysis | Summary Method for Analysis Objects
summary.pool | Summary Method for Pool Objects
tidy_pool_obj | Tidy and Annotate a Pooled Object for Publication
validate_data | Validate Data Before Imputation