R: Classes and Methods to Use Genetic Algorithms for Feature Selection

# Classes and Methods to Use Genetic Algorithms for Feature Selection

## Documentation for package ‘GenAlgo’ version 2.2.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

as.data.frame-method | Class "GenAlg"
as.matrix-method | Class "GenAlg"
diversity | Results of a Genetic Algorithm
fitter | Results of a Genetic Algorithm
gaTourResults | Results of a Genetic Algorithm
GenAlg | A generic Genetic Algorithm for feature selection
GenAlg-class | Class "GenAlg"
GenAlg-tools | Utility functions for selection and mutation in genetic algorithms
maha | Compute the (squared) Mahalanobis distance between two groups of vectors
meanfit | Results of a Genetic Algorithm
newGeneration | A generic Genetic Algorithm for feature selection
popDiversity | A generic Genetic Algorithm for feature selection
recurse | Results of a Genetic Algorithm
selectionFitness | Utility functions for selection and mutation in genetic algorithms
selectionMutate | Utility functions for selection and mutation in genetic algorithms
simpleMutate | Utility functions for selection and mutation in genetic algorithms
summary-method | Class "GenAlg"
tourData09 | Tour de France 2009