R genetic programming framework

arity | Determine the number of arguments of a function |

arity.primitive | Determine the number of arguments of a primitive function |

booleanFunctionManipulation | Tools for manipulating boolean functions |

breeding | Breeding of GP individuals |

buildingBlocks | Support for GP buidling blocks |

buildingBlockTags | Building block tags |

customDist | A 'dist' function that supports custom metrics |

dataDrivenGeneticProgramming | Data-driven untyped standard genetic programming |

defaultGPFunctionAndConstantSets | Default function- and constant factory sets for Genetic... |

do.call.ignore.unused.arguments | A variant of do.call that ignores unused arguments |

embedDataFrame | Embed columns in a data frame |

evolutionRestartConditions | Evolution restart conditions |

evolutionRestartStrategies | Evolution restart strategies |

evolutionStopConditions | Evolution stop conditions |

exprChildrenOrEmptyList | Return the Children of an Expression or the Empty List if... |

expressionComplexityMeasures | Complexity measures for R functions and expressions |

expressionComposing | Functions for decomposing and recombining R expressions |

expressionCounts | Upper bounds for expression tree search space sizes |

expressionCrossover | Random crossover (recombination) of functions and expressions |

expressionMutation | Random mutation of functions and expressions |

expressionNames | Functions for handling R symbols / names |

expressionSimilarityMeasures | Similarity and Distance Measures for R Functions and... |

expressionTransformation | Common higher-order functions for transforming R expressions |

exprLabel | Return the "label" at the Root Node of an Expression Tree |

exprToPlotmathExpr | Convert any expression to an expression that is plottable by... |

extractAttributes | Extract a given attribute of all objects in a list and tag... |

formatSeconds | Format time and data values into human-readable character... |

funcToPlotmathExpr | Convert a function to an expression plottable by plotmath |

geneticProgramming | Standard typed and untyped genetic programming |

gpIndividualVisualization | Visualization of functions and expressions as trees |

gridDesign | Create a regular grid design matrix |

individualAnalysis | Functions for analysing GP individuals |

inversePermutation | Calculate the inverse of a permutation |

is.sType | Check if an object is an sType |

iterate | Repeatedly apply a function |

joinElites | Join elite lists |

latinHypercubeDesign | Create a latin hypercube design (LHD) |

lispLists | Functions for Lisp-like list processing |

listSplittingAndGrouping | Splitting and grouping of lists |

mae | Mean absolute error (MAE) |

makeAgeFitnessComplexityParetoGpSearchHeuristic | Age Fitness Complexity Pareto GP Search Heuristic for RGP |

makeArchiveBasedParetoTournamentSearchHeuristic | Archive-based Pareto Tournament Search Heuristic for RGP |

makeClosure | Create a new R closure given a function body expression and... |

makeCommaEvolutionStrategySearchHeuristic | Comma Evolution Strategy Search Heuristic for RGP |

makeFunctionFitnessFunction | Create a fitness function from a reference function of one... |

makeNaryFunctionFitnessFunction | Create a fitness function from a n-ary reference function |

makeRegressionFitnessFunction | Create a fitness function for symbolic regression |

makeSeSymbolicFitnessFunction | Create a fitness function based on symbolic squared error... |

makeTinyGpSearchHeuristic | Tiny GP Search Heuristic for RGP |

mse | Mean squared error (MSE) |

multiNicheGeneticProgramming | Cluster-based multi-niche genetic programming |

multiNicheSymbolicRegression | Symbolic regression via multi-niche standard genetic... |

new.alist | Create a new function argument list from a list or vector of... |

new.function | Create a new function stub |

nmse | Normalized mean squared error (NMSE) |

nondeterministicRanking | Create a nondeterministic ranking |

normalize | Normalize a vector into the interval [0, 1] |

normalizedDesign | Create a normalized design matrix |

orderByParetoMeasure | Rearrange points via an arbitrary Pareto-based ranking |

paretoFrontKneeIndex | Find the knee of a two dimensional pareto front |

paretoSorting | Rearrange points via Pareto-based rankings |

plotFunction3d | Plot a 2D function as a 3D surface |

plotFunctions | Show an overlayed plot of multiple functions |

plotParetoFront | Plot a GP Pareto Front |

plotPopulationFitnessComplexity | Fitness/Complexity plot for populations |

popfitness | Calculate the fitness value of each individual in a... |

populationClustering | Clustering Populations for Niching |

populationCreation | Classes for populations of individuals represented as... |

predict.symbolicRegressionModel | Predict method for symbolic regression models |

print.sType | Prints a sType and returns it invisible. |

randelt | Choose a random element from a list or vector |

randomExpressionChilds | Select random childs or subtrees of an expression |

randomExpressionCreation | Creates an R expression by random growth |

randomExpressionCreationTyped | Creates an R expression by random growth respecting type... |

randomFunctionCreation | Creates an R function with a random expression as its body |

randomFunctionCreationTyped | Creates a well-typed R function with a random expression as... |

randterminalTyped | Create a random terminal node |

rangeTypeOfType | Return the range type if t is a function type, otherwise just... |

rgp-package | The RGP package |

rgpTestingAndBenchmarking | Utility functions for testing and benchmarking the RGP system |

r_mae | R version of Mean absolute error (MAE) |

rmse | Root mean squared error (RMSE) |

rsquared | Coefficient of determination (R^2) |

r_sse | R version of Sum squared error (SSE) |

r_ssse | R version of Scaled sum squared error (sSSE) |

safeGPfunctions | Some simple arithmetic and logic functions for use in GP... |

searchSpaceDefinition | Functions for defining the search space for Genetic... |

selectionFunctions | GP selection functions |

seSymbolic | Symbolic squared error (SE) |

seSymbolicFunction | Symbolic squared error function (SE) |

smse | Scaled mean squared error (SMSE) |

sortBy | Sort a vector or list by the result of applying a function |

sortByRange | Tabulate a list of functions or input variables by the range... |

sortByRanking | Sort a vector or list via a given ranking |

sortByType | Tabulate a list of functions or input variables by their... |

sortingAlgorithms | Sorting algorithms for vectors and lists |

sse | Sum squared error (SSE) |

ssse | Scaled sum squared error (sSSE) |

sTypeConstructors | Type constructors for types in the Rsymbolic type system |

sTypeInference | Inference of sTypes |

subDataFrame | Select a continuous subframe of a data frame |

summary.geneticProgrammingResult | Summary reports of genetic programming run result objects |

symbolicRegression | Symbolic regression via untyped standard genetic programming |

tabulateFunction | Tabulate an n-ary function |

variablePresenceMaps | Variable Presence Maps |

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