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A B C D E F G H I J L M N O P R S T misc
| rgp-package | The RGP package |
| AllExpressionNodes | Common higher-order functions for transforming R expressions |
| andStopCondition | Evolution stop conditions |
| AnyExpressionNode | Common higher-order functions for transforming R expressions |
| arithmeticFunctionSet | Default function- and constant factory sets for Genetic Programming |
| arity | Determine the number of arguments of a function |
| arity.primitive | Determine the number of arguments of a primitive function |
| booleanFunctionAsList | Tools for manipulating boolean functions |
| breed | Breeding of GP individuals |
| buildingBlock | Support for GP buidling blocks |
| buildingBlockq | Support for GP buidling blocks |
| buildingBlockTag | Building block tags |
| buildingBlockTag<- | Building block tags |
| c.constantFactorySet | Functions for defining the search space for Genetic Programming |
| c.functionSet | Functions for defining the search space for Genetic Programming |
| c.inputVariableSet | Functions for defining the search space for Genetic Programming |
| calculateSTypeRecursive | Inference of sTypes |
| commonSubexpressions | Similarity and Distance Measures for R Functions and Expressions |
| configureSTypeInference | Inference of sTypes |
| constantFactorySet | Functions for defining the search space for Genetic Programming |
| contains | Functions for Lisp-like list processing |
| crossover | Random crossover (recombination) of functions and expressions |
| crossoverexpr | Random crossover (recombination) of functions and expressions |
| crossoverexprFast | Random crossover (recombination) of functions and expressions |
| crossoverexprTwoPoint | Random crossover (recombination) of functions and expressions |
| crossoverexprTyped | Random crossover (recombination) of functions and expressions |
| crossoverTyped | Random crossover (recombination) of functions and expressions |
| customDist | A 'dist' function that supports custom metrics |
| dataDrivenGeneticProgramming | Data-driven untyped standard genetic programming |
| differingSubexpressions | Similarity and Distance Measures for R Functions and Expressions |
| do.call.ignore.unused.arguments | A variant of do.call that ignores unused arguments |
| embedDataFrame | Embed columns in a data frame |
| evaluationsPerSecondBenchmark | Utility functions for testing and benchmarking the RGP system |
| expLogFunctionSet | Default function- and constant factory sets for Genetic Programming |
| exprChildrenOrEmptyList | Return the Children of an Expression or the Empty List if there are None |
| exprCount | Complexity measures for R functions and expressions |
| exprDepth | Complexity measures for R functions and expressions |
| expressionGraph | Common higher-order functions for transforming R expressions |
| exprLabel | Return the "label" at the Root Node of an Expression Tree |
| exprLeaves | Complexity measures for R functions and expressions |
| exprShapesOfDepth | Upper bounds for expression tree search space sizes |
| exprShapesOfMaxDepth | Upper bounds for expression tree search space sizes |
| exprShapesOfMaxSize | Upper bounds for expression tree search space sizes |
| exprShapesOfSize | Upper bounds for expression tree search space sizes |
| exprSize | Complexity measures for R functions and expressions |
| exprsOfDepth | Upper bounds for expression tree search space sizes |
| exprsOfMaxDepth | Upper bounds for expression tree search space sizes |
| exprsOfMaxSize | Upper bounds for expression tree search space sizes |
| exprsOfSize | Upper bounds for expression tree search space sizes |
| exprToGraph | Visualization of functions and expressions as trees |
| exprToIgraph | Visualization of functions and expressions as trees |
| exprToPlotmathExpr | Convert any expression to an expression that is plottable by plotmath |
| exprVisitationLength | Complexity measures for R functions and expressions |
| extractAttributes | Extract a given attribute of all objects in a list and tag that list with the list of extracted attributes |
| extractLeafSymbols | Functions for handling R symbols / names |
| fastExprVisitationLength | Complexity measures for R functions and expressions |
| fastFuncVisitationLength | Complexity measures for R functions and expressions |
| fastMakePopulation | Classes for populations of individuals represented as functions |
| fifth | Functions for Lisp-like list processing |
| first | Functions for Lisp-like list processing |
| flatten | Splitting and grouping of lists |
| FlattenExpression | Common higher-order functions for transforming R expressions |
| formatSeconds | Format time and data values into human-readable character vectors |
| fourth | Functions for Lisp-like list processing |
| funcCount | Complexity measures for R functions and expressions |
| funcDepth | Complexity measures for R functions and expressions |
| funcLeaves | Complexity measures for R functions and expressions |
| funcSize | Complexity measures for R functions and expressions |
| functionSet | Functions for defining the search space for Genetic Programming |
| functionVariablePresenceMap | Variable Presence Maps |
| funcToIgraph | Visualization of functions and expressions as trees |
| funcToPlotmathExpr | Convert a function to an expression plottable by plotmath |
| funcVisitationLength | Complexity measures for R functions and expressions |
| geneticProgramming | Standard typed and untyped genetic programming |
| getPw | Functions for defining the search space for Genetic Programming |
| getSTypeFromFormalsStack | Inference of sTypes |
| gridDesign | Create a regular grid design matrix |
| groupListConsecutive | Splitting and grouping of lists |
| groupListDistributed | Splitting and grouping of lists |
| hasBuildingBlockTag | Building block tags |
| hasPw | Functions for defining the search space for Genetic Programming |
| hasStype | Inference of sTypes |
| ifPositive | Some simple arithmetic and logic functions for use in GP expressions |
| ifThenElse | Some simple arithmetic and logic functions for use in GP expressions |
| inputVariableSet | Functions for defining the search space for Genetic Programming |
| inputVariablesOfIndividual | Functions for analysing GP individuals |
| insertionSort | Sorting algorithms for vectors and lists |
| integerToLogicals | Tools for manipulating boolean functions |
| intersperse | Splitting and grouping of lists |
| inversePermutation | Calculate the inverse of a permutation |
| is.atom | Functions for Lisp-like list processing |
| is.composite | Functions for Lisp-like list processing |
| is.empty | Functions for Lisp-like list processing |
| 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) |
| ln | Some simple arithmetic and logic functions for use in GP expressions |
| mae | Mean absolute error (MAE) |
| makeAgeFitnessComplexityParetoGpSearchHeuristic | Age Fitness Complexity Pareto GP Search Heuristic for RGP |
| makeArchiveBasedParetoTournamentSearchHeuristic | Archive-based Pareto Tournament Search Heuristic for RGP |
| makeBooleanFitnessFunction | Tools for manipulating boolean functions |
| makeClosure | Create a new R closure given a function body expression and an argument list |
| makeCommaEvolutionStrategySearchHeuristic | Comma Evolution Strategy Search Heuristic for RGP |
| makeComplexityTournamentSelection | GP selection functions |
| makeEmptyRestartCondition | Evolution restart conditions |
| makeEvaluationsStopCondition | Evolution stop conditions |
| makeFitnessDistributionRestartCondition | Evolution restart conditions |
| makeFitnessStagnationRestartCondition | Evolution restart conditions |
| makeFitnessStopCondition | Evolution stop conditions |
| makeFunctionFitnessFunction | Create a fitness function from a reference function of one variable |
| makeHierarchicalClusterFunction | Clustering Populations for Niching |
| makeLocalRestartStrategy | Evolution restart strategies |
| makeMultiObjectiveTournamentSelection | GP selection functions |
| makeNaryFunctionFitnessFunction | Create a fitness function from a n-ary reference function |
| makePopulation | Classes for populations of individuals represented as functions |
| makeRegressionFitnessFunction | Create a fitness function for symbolic regression |
| makeSeSymbolicFitnessFunction | Create a fitness function based on symbolic squared error (SE) |
| makeStepLimitRestartCondition | Evolution restart conditions |
| makeStepsStopCondition | Evolution stop conditions |
| makeTimeStopCondition | Evolution stop conditions |
| makeTinyGpSearchHeuristic | Tiny GP Search Heuristic for RGP |
| makeTournamentSelection | GP selection functions |
| makeTypedPopulation | Classes for populations of individuals represented as functions |
| MapExpressionLeafs | Common higher-order functions for transforming R expressions |
| MapExpressionNodes | Common higher-order functions for transforming R expressions |
| MapExpressionSubtrees | Common higher-order functions for transforming R expressions |
| mse | Mean squared error (MSE) |
| multiNicheGeneticProgramming | Cluster-based multi-niche genetic programming |
| multiNicheSymbolicRegression | Symbolic regression via multi-niche standard genetic programming |
| mutateChangeDeleteInsert | Random mutation of functions and expressions |
| mutateChangeLabel | Random mutation of functions and expressions |
| mutateDeleteInsert | Random mutation of functions and expressions |
| mutateDeleteSubtree | Random mutation of functions and expressions |
| mutateFunc | Random mutation of functions and expressions |
| mutateFuncFast | Random mutation of functions and expressions |
| mutateFuncTyped | Random mutation of functions and expressions |
| mutateInsertSubtree | Random mutation of functions and expressions |
| mutateNumericConst | Random mutation of functions and expressions |
| mutateNumericConstFast | Random mutation of functions and expressions |
| mutateNumericConstTyped | Random mutation of functions and expressions |
| mutateSubtree | Random mutation of functions and expressions |
| mutateSubtreeFast | Random mutation of functions and expressions |
| mutateSubtreeTyped | Random mutation of functions and expressions |
| NCSdist | Similarity and Distance Measures for R Functions and Expressions |
| new.alist | Create a new function argument list from a list or vector of strings |
| 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 |
| normalizedNumberOfCommonSubexpressions | Similarity and Distance Measures for R Functions and Expressions |
| normalizedSizeWeightedNumberOfCommonSubexpressions | Similarity and Distance Measures for R Functions and Expressions |
| normInducedFunctionDistance | Similarity and Distance Measures for R Functions and Expressions |
| normInducedTreeDistance | Similarity and Distance Measures for R Functions and Expressions |
| notStopCondition | Evolution stop conditions |
| numberOfCommonSubexpressions | Similarity and Distance Measures for R Functions and Expressions |
| numberOfDifferentBits | Tools for manipulating boolean functions |
| numberOfDifferingSubexpressions | Similarity and Distance Measures for R Functions and Expressions |
| orderByParetoCrowdingDistance | Rearrange points via Pareto-based rankings |
| orderByParetoHypervolumeContribution | Rearrange points via Pareto-based rankings |
| orderByParetoMeasure | Rearrange points via an arbitrary Pareto-based ranking |
| orStopCondition | Evolution stop conditions |
| paretoFrontKneeIndex | Find the knee of a two dimensional pareto front |
| 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 population |
| populationVariablePresenceMap | Variable Presence Maps |
| positive | Some simple arithmetic and logic functions for use in GP expressions |
| predict.symbolicRegressionModel | Predict method for symbolic regression models |
| print.population | Classes for populations of individuals represented as functions |
| print.sType | Prints a sType and returns it invisible. |
| pw | Functions for defining the search space for Genetic Programming |
| randchild | Select random childs or subtrees of an expression |
| randelt | Choose a random element from a list or vector |
| randexprFull | Creates an R expression by random growth |
| randexprGrow | Creates an R expression by random growth |
| randexprTypedFull | Creates an R expression by random growth respecting type constraints |
| randexprTypedGrow | Creates an R expression by random growth respecting type constraints |
| randfunc | Creates an R function with a random expression as its body |
| randfuncRampedHalfAndHalf | Creates an R function with a random expression as its body |
| randfuncTyped | Creates a well-typed R function with a random expression as its body |
| randfuncTypedRampedHalfAndHalf | Creates a well-typed R function with a random expression as its body |
| randsubtree | Select random childs or subtrees of an expression |
| randterminalTyped | Create a random terminal node |
| rangeTypeOfType | Return the range type if t is a function type, otherwise just return t |
| replaceSubtreeAt | Common higher-order functions for transforming R expressions |
| rest | Functions for Lisp-like list processing |
| rgpBenchmark | Utility functions for testing and benchmarking the RGP system |
| rmse | Root mean squared error (RMSE) |
| rsquared | Coefficient of determination (R^2) |
| r_mae | R version of Mean absolute error (MAE) |
| r_sse | R version of Sum squared error (SSE) |
| r_ssse | R version of Scaled sum squared error (sSSE) |
| safeDivide | Some simple arithmetic and logic functions for use in GP expressions |
| safeLn | Some simple arithmetic and logic functions for use in GP expressions |
| safeSqroot | Some simple arithmetic and logic functions for use in GP expressions |
| second | Functions for Lisp-like list processing |
| seSymbolic | Symbolic squared error (SE) |
| seSymbolicFunction | Symbolic squared error function (SE) |
| setSTypeOnFormalsStack | Inference of sTypes |
| sizeWeightedNumberOfCommonSubexpressions | Similarity and Distance Measures for R Functions and Expressions |
| sizeWeightedNumberOfDifferingSubexpressions | Similarity and Distance Measures for R Functions and Expressions |
| smse | Scaled mean squared error (SMSE) |
| SNCSdist | Similarity and Distance Measures for R Functions and Expressions |
| sObject | Type constructors for types in the Rsymbolic type system |
| 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 part of their sTypes |
| sortByRanking | Sort a vector or list via a given ranking |
| sortByType | Tabulate a list of functions or input variables by their sTypes |
| splitList | Splitting and grouping of lists |
| sse | Sum squared error (SSE) |
| ssse | Scaled sum squared error (sSSE) |
| st | Type constructors for types in the Rsymbolic type system |
| sType | Inference of sTypes |
| sTypeq | Inference of sTypes |
| subDataFrame | Select a continuous subframe of a data frame |
| subexpressions | Functions for decomposing and recombining R expressions |
| subtreeAt | Common higher-order functions for transforming R expressions |
| subtrees | Common higher-order functions for transforming R expressions |
| summary.geneticProgrammingResult | Summary reports of genetic programming run result objects |
| summary.population | Classes for populations of individuals represented as functions |
| symbolicRegression | Symbolic regression via untyped standard genetic programming |
| tabulateFunction | Tabulate an n-ary function |
| third | Functions for Lisp-like list processing |
| toName | Functions for handling R symbols / names |
| trivialMetric | Similarity and Distance Measures for R Functions and Expressions |
| typedGeneticProgramming | Standard typed and untyped genetic programming |
| %->% | Type constructors for types in the Rsymbolic type system |
| %::% | Inference of sTypes |