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JOUSBoost

Implements Under/Oversampling for Probability Estimation

v2.1.0 · Jul 12, 2017 · MIT + file LICENSE
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Description

Implements under/oversampling for probability estimation. To be used with machine learning methods such as AdaBoost, random forests, etc.

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r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
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r-release-macos-arm64 OK
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dependencies in R code

              
Namespace in Imports field not imported from: ‘doParallel’
  All declared Imports should be used.

            

            

              

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Namespace in Imports field not imported from: ‘doParallel’
  All declared Imports should be used.

            

            

              

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Check History

        

          

            
              NOTE
              
                12 OK ·                 2 NOTE ·                 0 WARNING ·                 0 ERROR ·                 0 FAILURE              
              Mar 9, 2026
            
            

              

                

                  NOTE
                  r-devel-linux-x86_64-fedora-clang
                

                
dependencies in R code

                
Namespace in Imports field not imported from: ‘doParallel’
  All declared Imports should be used.

              

              

                

                  NOTE
                  r-devel-linux-x86_64-fedora-gcc
                

                
dependencies in R code

                
Namespace in Imports field not imported from: ‘doParallel’
  All declared Imports should be used.

              

            

          

        

      


      
      

        
Reverse Dependencies (1)

        

          
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            qeML
          

        

      


      
      

        
Dependency Network

        

          
            

            
            
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              Rcpp
            
            
              
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              qeML
            

            
            
            JOUSBoost
          
        

      


      
      

        
Version History

        

          

            new
            2.1.0
            Mar 10, 2026