auc.model | Area under curve (AUC) |
bivariate | Bivariate analysis |
boots.vld | Bootstrap model validation |
cat.bin | Categorical risk factor binning |
create.partitions | Create partitions (aka nested dummy variables) |
dp.testing | Testing the discriminatory power of PD rating model |
evrs | Modelling the Economic Value of Credit Rating System |
heterogeneity | Testing heterogeneity of the PD rating model |
homogeneity | Testing homogeneity of the PD rating model |
imp.outliers | Imputation methods for outliers |
imp.sc | Imputation methods for special cases |
interaction.transformer | Extract risk factors interaction from decision tree |
kfold.vld | K-fold model cross-validation |
loans | German Credit Data |
power | Power of statistical tests for predictive ability testing |
pp.testing | Testing the predictive power of PD rating model |
psi | Population Stability Index (PSI) |
replace.woe | Replace modalities of risk factor with weights of evidence (WoE) value |
rf.clustering | Risk factor clustering |
rs.calibration | Calibration of the rating scale |
scaled.score | Scaling the probabilities |
segment.vld | Model segment validation |
stepMIV | Stepwise logistic regression based on marginal information value (MIV) |
univariate | Univariate analysis |
woe.tbl | Weights of evidence (WoE) table |