Package index
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aco.operator() - ACO operator for model selection
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acoControl() - Create control parameters for the ACO algorithm
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add_covariate() - Add a covariate effect to a parameter model
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add_variability() - Add inter-individual variability to a parameter
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applyParamDeps() - Apply parameter dependency rules
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auto_param_table() - Automatically generate a parameter table with initial estimates
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base_model() - Create a base model code for single-start model search algorithms
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build_odeline() - Build ODE model lines for pharmacokinetic modeling
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create.pop() - Create an initial GA population
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createAnts() - Create ant population for ACO
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decodeBinary() - Decode binary encoding to categorical encoding
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detect_move() - Detect the primary move between two model codes
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.twoBitCode() - 2-bit code helper
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encodeBinary() - Encode categorical encoding to binary encoding
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fitness() - Evaluate fitness of a population pharmacokinetic model
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ga.crossover() - Crossover operator (one- or two-point) for binary chromosomes
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ga.mutation() - Mutation operator for binary genetic algorithms
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ga.operator() - Genetic algorithm operator for model selection
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ga.sel.tournament() - Tournament selection
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gaControl() - Control parameters for genetic algorithm
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generate_neighbors_df() - Generate neighbor models
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get.mod.lst() - Summarize parameter estimates and run information from an nlmixr2 fit
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initNodeList() - Initialize node list for ACO search space
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initialize_param() - Initialize model parameters from parameter table
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initialize_param_table() - Generate initial parameter table for pharmacometric model estimation
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is_move_tabu() - Check if a move is tabu
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mod.run() - Run population pharmacokinetic model with pre-defined search space
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omega_block() - Generate omega block Code for nlmixr2 model
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p.calculation() - Calculate selection probabilities for each node
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param.bounds() - Define Parameter Bounds for PK Models
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parseName() - Parse model coding vector to model name
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parseParams() - Parse string vector to model parameters
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penaltyControl() - Configure penalty settings for model evaluation
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perturb_2bit() - Apply 2-bit perturbation to escape local optimum
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phi.calculate() - Update pheromone levels for each decision node
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ppkmodGen() - Generate a Pharmacokinetic (PK) Model for nlmixr2
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print(<acoOperatorResult>) - Print method for ACO operator results
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print(<gaOperatorResult>) - Print method for gaOperatorResult objects
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print(<sfOperatorResult>) - Print method for sfOperatorResult objects
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print(<tabuOperatorResult>) - Print method for tabu operator results
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rank_new() - Ranking with significance difference threshold
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run_model_in_subprocess() - Run an nlmixr2 model in an isolated subprocess
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runlocal() - Perform 1-bit local search
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sf.operator() - Stepwise model building operator for model selection
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spaceConfig() - Get search space configuration
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step_compartments() - Screen number of compartments
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step_correlation() - Evaluate inclusion of ETA correlation structure
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step_elimination() - Screen elimination type (linear vs Michaelis-Menten)
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step_iiv_f() - Forward selection of IIV on structural parameters
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step_iiv_ka() - Evaluate inter-individual variability on Ka
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step_iiv_km() - Evaluate inter-individual variability on Km
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step_rv() - Evaluate residual error model structure
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tabu.operator() - Tabu search operator for model selection
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tabuControl() - Control Parameters for Tabu Search
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validStringbinary() - Validate and correct model string for GA
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validStringcat() - Validate and correct model string for ACO/TS