nlmixr2auto1.0.0 package

ACO operator for model selection

Create control parameters for the ACO algorithm

Add a covariate effect to a parameter model

Add inter-individual variability to a parameter

Apply parameter dependency rules

Automatically generate a parameter table with initial estimates

Create a base model code for single-start model search algorithms

Build ODE model lines for pharmacokinetic modeling

Create an initial GA population

Create ant population for ACO

Decode binary encoding to categorical encoding

Detect the primary move between two model codes

2-bit code helper

Encode categorical encoding to binary encoding

Evaluate fitness of a population pharmacokinetic model

Crossover operator (one- or two-point) for binary chromosomes

Mutation operator for binary genetic algorithms

Genetic algorithm operator for model selection

Tournament selection

Control parameters for genetic algorithm

Generate neighbor models

Summarize parameter estimates and run information from an nlmixr2 fit

Generate initial parameter table for pharmacometric model estimation

Initialize model parameters from parameter table

Initialize node list for ACO search space

Check if a move is tabu

Run population pharmacokinetic model with pre-defined search space

Generate omega block Code for nlmixr2 model

Calculate selection probabilities for each node

Define Parameter Bounds for PK Models

Parse model coding vector to model name

Parse string vector to model parameters

Configure penalty settings for model evaluation

Apply 2-bit perturbation to escape local optimum

Update pheromone levels for each decision node

Generate a Pharmacokinetic (PK) Model for nlmixr2

Print method for ACO operator results

Print method for gaOperatorResult objects

Print method for sfOperatorResult objects

Print method for tabu operator results

Ranking with significance difference threshold

Run an nlmixr2 model in an isolated subprocess

Perform 1-bit local search

Stepwise model building operator for model selection

Get search space configuration

Screen number of compartments

Evaluate inclusion of ETA correlation structure

Screen elimination type (linear vs Michaelis-Menten)

Forward selection of IIV on structural parameters

Evaluate inter-individual variability on Ka

Evaluate inter-individual variability on Km

Evaluate residual error model structure

Tabu search operator for model selection

Control Parameters for Tabu Search

Validate and correct model string for GA

Validate and correct model string for ACO/TS