Utility Functions to Support and Extend the 'rbmi' Package

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Documentation for package ‘rbmiUtils’ version 0.3.0

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

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