Man pages for rgp
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 |
