R: A Collection of Oversampling Techniques for Class Imbalance Problem Based on SMOTE

# A Collection of Oversampling Techniques for Class Imbalance Problem Based on SMOTE

## Documentation for package ‘smotefamily’ version 1.4.0

- DESCRIPTION file

## Help Pages

ADAS | Adaptive Synthetic Sampling Approach for Imbalanced Learning
ANS | Adaptive Neighbor Synthetic Majority Oversampling TEchnique
BLSMOTE | Borderline-SMOTE
DBSMOTE | Density-based SMOTE
gap | The function to provide a random number which is used as a location of synthetic instance
kncount | Counting the number of each class in K nearest neighbor
knearest | The function to find n_clust nearest neighbors of each instance, always removing the index of that instance if it is reported.
n_dup_max | The function to calculate the maximum round each sampling is repeated
RSLS | Relocating Safe-level SMOTE
sample_generator | The function to generate 2-dimensional dataset
SLS | Safe-level SMOTE
SMOTE | Synthetic Minority Oversampling TEchnique
SMOTEfamily | SMOTE family package for Data Generation