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.

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.