ALL                     Acute Lymphoblastic Leukemia data (Yeoh et.
                        al., 2002) for GALGO package
ALL.classes             Acute Lymphoblastic Leukemia data (Yeoh et.
                        al., 2002) for GALGO package
Bag                     A list-like Object
BigBang                 Represents the ensemble of the results of
                        evolving several Galgo objects
Chromosome              The representation of a set of genes for
                        genetic algorithms
Galgo                   The representation of a Genetic Algorithm
Gene                    The representation of a gene in a chromosome
                        for genetic algorithms
Niche                   The representation of a set of chromosomes for
                        genetic algorithms
World                   The representation of a set of niches with
                        migration for genetic algorithms
as.list.Object          Convert a variable of class Object to a list
classPrediction         Function used to predict class evaluating a
                        fitness function in many train-test sets
configBB.VarSel         Creates and configure all objects needed for a
                        "variable selection for classificacion" problem
configBB.VarSelMisc     Creates and configure all objects needed for a
                        "variable selection" problem
fitness                 Function used to evaluate a chromosome
galgo-package           Galgo perform feature selection from large
                        scale data.
galgo.dist              Computes the distance in GALGO for KNN based
                        methods
geneBackwardElimination
                        Searches for shorter or better models using
                        backward elimination strategy
generateRandomModels    Generates Random shorter models
knn_C_predict           Class prediction using KNN method calling the C
                        code
knn_R_predict           Class prediction using KNN method calling the R
                        code
loadObject              Load saved data of class Object and use
                        reObject as necessary
mlhd_C_predict          Class prediction using Maximum Likelihood
                        Discriminant Functions method calling the C
                        code
mlhd_R_predict          Class prediction using Maximum Likelihood
                        Discriminant Functions method calling the R
                        code
modelSelection          Function used to evaluate a fitness function in
                        many train-test sets
nearcent_C_predict      Class prediction using the nearest centroid
                        method calling the C code
nearcent_R_predict      Class prediction using the nearest centroid
                        method calling the R code
nnet_R_predict          Class prediction using the neural networks
                        method calling the R code
randomforest_R_predict
                        Class prediction using RandomForest method
                        calling the R code
reObject                Creates proper extended Object from a list
                        obtained by unObject
robustGeneBackwardElimination
                        Searches for shorter or better models using
                        backward elimination strategy
rpart_R_predict         Class prediction using the recursive tree
                        partitions method calling the R code
runifInt                Generation of random uniform integer values
svm_C_predict           Class prediction using support vector machines
                        method calling the C/R code
svm_R_predict           Class prediction using support vector machines
                        method calling the R code
unObject                Converts variables from class Object (and
                        derived classes) to list
