.scale_variable         Scaling a variable
apply_data_dictionary   Clean column names, types and levels
apply_function_to_imputed_data
                        Apply function to dataframes in a mice object
assign_factorial_levels
                        Assign custom values for key levels in
                        factorial columns
assign_types_names      Assign tidy types and names to a data.frame
build_model_formula     Build formula for statistical models
cox.zph.mids            Test cox proportional odds assumption on models
                        using multiple imputation.
deconstruct_formula     Deconstruct formula
filter_nth_entry        Filter dataframe for nth entry
fit_mult_impute_obs_outcome
                        Fit a model on multiply imputed data using only
                        observations with non-missing outcome(s)
or_model_summary        Summarise a logistic regression model on the
                        odds ratio scale
parse_date_columns      Parse values in date columns as Dates
quantile_group          Stratify a numeric vector into quantile groups
remove_duplicates       Remove duplicate rows from data.frame
remove_missing_from_mids
                        Remove missing cases from a mids object
scale_continuous_predictors
                        Scale continuous predictors
setduplicates           Identify duplicate values in a vector
                        representing a set
stratified_boxcox       Box-Cox transformation for stratified data
