title: Handling imbalanced data in multi-class classification problem
body: <p>I have multi-class classification problem and data is heavily skewed. My target variable (y) has 3 classes and their % in data is as follows:
   - 0=3% 
   - 1=90%
   - 2=7%</p>
  
  <p>I am looking for Packages in R which can do multi-class oversampling, Undersampling or both the techniques.</p>
  
  <p>If it is not doable in R then where I can handle this problem.?</p>
  
  <p>PS: 
  I tried using ROSE package in R but it works only for binary class problems. </p>