R: Elimination of Noisy Samples in Regression Datasets using Noise Filters

# Elimination of Noisy Samples in Regression Datasets using Noise Filters

## Documentation for package ‘rgnoisefilt’ version 1.1.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

discCNN | Condensed Nearest Neighbors for Regression by Discretization
discCNN.default | Condensed Nearest Neighbors for Regression by Discretization
discCNN.formula | Condensed Nearest Neighbors for Regression by Discretization
discENN | Edited Nearest Neighbors for Regression by Discretization
discENN.default | Edited Nearest Neighbors for Regression by Discretization
discENN.formula | Edited Nearest Neighbors for Regression by Discretization
discNCL | Neighborhood Cleaning Rule for Regression by Discretization
discNCL.default | Neighborhood Cleaning Rule for Regression by Discretization
discNCL.formula | Neighborhood Cleaning Rule for Regression by Discretization
discTL | Tomek Links for Regression by Discretization
discTL.default | Tomek Links for Regression by Discretization
discTL.formula | Tomek Links for Regression by Discretization
plot.rfdata | Plot function for class rfdata
print.rfdata | Print function for class rfdata
regAENN | All-k Edited Nearest Neighbors for Regression
regAENN.default | All-k Edited Nearest Neighbors for Regression
regAENN.formula | All-k Edited Nearest Neighbors for Regression
regBBNR | Blame Based Noise Reduction for Regression
regBBNR.default | Blame Based Noise Reduction for Regression
regBBNR.formula | Blame Based Noise Reduction for Regression
regCNN | Condensed Nearest Neighbors for Regression
regCNN.default | Condensed Nearest Neighbors for Regression
regCNN.formula | Condensed Nearest Neighbors for Regression
regCVCF | Cross-Validated Committees Filter for Regression
regCVCF.default | Cross-Validated Committees Filter for Regression
regCVCF.formula | Cross-Validated Committees Filter for Regression
regDF | Dynamic Filter for Regression
regDF.default | Dynamic Filter for Regression
regDF.formula | Dynamic Filter for Regression
regEF | Ensemble Filter for Regression
regEF.default | Ensemble Filter for Regression
regEF.formula | Ensemble Filter for Regression
regENN | Edited Nearest Neighbors for Regression
regENN.default | Edited Nearest Neighbors for Regression
regENN.formula | Edited Nearest Neighbors for Regression
regFMF | Fusion of Multiple Filters for Regression
regFMF.default | Fusion of Multiple Filters for Regression
regFMF.formula | Fusion of Multiple Filters for Regression
regGE | Generalized Edition for Regression
regGE.default | Generalized Edition for Regression
regGE.formula | Generalized Edition for Regression
regHRRF | Hybrid Repair-Remove Filter for Regression
regHRRF.default | Hybrid Repair-Remove Filter for Regression
regHRRF.formula | Hybrid Repair-Remove Filter for Regression
regIPF | Iterative Partitioning Filter for Regression
regIPF.default | Iterative Partitioning Filter for Regression
regIPF.formula | Iterative Partitioning Filter for Regression
regIRF | Iterative Robust Filter for Regression
regIRF.default | Iterative Robust Filter for Regression
regIRF.formula | Iterative Robust Filter for Regression
regRND | Regressand Noise Detection for Regression
regRND.default | Regressand Noise Detection for Regression
regRND.formula | Regressand Noise Detection for Regression
regRNN | Reduced Nearest Neighbors for Regression
regRNN.default | Reduced Nearest Neighbors for Regression
regRNN.formula | Reduced Nearest Neighbors for Regression
rfCDF | Covering Distance Filtering for Regression
rfCDF.default | Covering Distance Filtering for Regression
rfCDF.formula | Covering Distance Filtering for Regression
rfDROP2 | Decremental Reduction Optimization Procedure for Regression
rfDROP2.default | Decremental Reduction Optimization Procedure for Regression
rfDROP2.formula | Decremental Reduction Optimization Procedure for Regression
rfDROP3 | Decremental Reduction Optimization Procedure 3 for Regression
rfDROP3.default | Decremental Reduction Optimization Procedure 3 for Regression
rfDROP3.formula | Decremental Reduction Optimization Procedure 3 for Regression
rfMIF | Mutual Information-based Filter for Regression
rfMIF.default | Mutual Information-based Filter for Regression
rfMIF.formula | Mutual Information-based Filter for Regression
summary.rfdata | Summary function for class rfdata