| accuracy | Confusion matrix and overall accuracy of predicted binary response |
| actvspred | Comparison of actual and predicted linear response |
| auc | Area under curve of predicted binary response |
| contents | Basic summary of the data |
| decile | Create deciles of a variable |
| dqcategorical | Data quality check of categorical variables |
| dqcontinuous | Data quality check of continuous variables |
| dqdate | Data quality check of date variables |
| factorise | Change the class of variables to factor |
| gini | Gini coefficient of a distribution |
| imputemiss | Impute missing values in a variable |
| iv | Information value of an independent variable in predicting a binary response |
| ks | Kolmogorov-Smirnov statistic for predicted binary response |
| mape | Compute mean absolute percentage error |
| outliers | Identify outliers in a variable |
| pentile | Create pentiles of a variable |
| randomise | Order the rows of a data randomly |
| rmdupkey | Remove observations with duplicate keys from data |
| rmdupobs | Remove duplicate observations from data |
| splitdata | Split modeling data into test and train set |