Package index • medley

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() summary(<medley>) print(<medley>) predict(<medley>) fit(<medley>): Train models using different combinations of predictor variables based upon missing data patterns.
accuracy() sensitivity() specificity(): Calculate the accuracy rate.
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.