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All functions

bank
Bank Marketing
calculate_roc() summary(<roc>) plot(<roc>)
Calculate the statistics for receiver operating characteristic curve
combine_confusion_matrices()
Combine multiple confusion matrices into a single table.
confusion_matrix() as.data.frame(<confusionmatrix>) print(<confusionmatrix>)
Calculate a confusion matrix
crosstab()
Contingency and proportional table as a character
daacs
Data from the Diagnostic Assessment and Achievement of College Skills (DAACS)
downsample() predict(<downsample>)
Model training using downsampling.
expand_formula()
Utility function that will expand the formula if the independent variable(s) are not full specified.
get_variable_sets() print(<variableset>)
Gets list of model formulas based upon the missing data pattern in the data set.
medley_train() summary(<medley>) print(<medley>) predict(<medley>)
Train models using different combinations of predictor variables based upon missing data patterns.
accuracy() sensitivity() specificity()
Calculate the accuracy rate.
nhis
National Health Interview Survey (NHIS) 2017
pisa
Programme of International Student Assessment
pisa_variables
Programme of International Student Assessment
recode_small_levels()
Recode levels of a factor that are below a given threshold.