| cnodata | A cnodata from CellNoptR |
| cnolist | A cnolist from CellNoptR |
| cnolistCNORodeExample | A cnolist from CellNoptR |
| CNORode | Logic based ODE extension for CellNOptR |
| createLBodeContPars | Create a list with ODE parameter information needed to perform parameter estimation |
| crossvalidateODE | Crossvalidate ODE model |
| defaultParametersGA | Create default options to perform parameter estimation with a genetic algorithm. |
| defaultParametersSSm | Create default options to perform parameter estimation with scatter search meta-heuristic. |
| getLBodeContObjFunction | Returns the objective function to perform parameter estimation. |
| getLBodeDataSim | Simulate value signals a CNO list With Logic-Based ODEs. |
| getLBodeMINLPObjFunction | Get the objective function to evaluate the fitness of a given model structure and set of parameters. |
| getLBodeModelSim | Simulate the logic-based ODE model |
| getLBodeSimFunction | Get a function to simulate a logic based ODE model. |
| getStates | Find which species in the model are states. |
| incidence2Adjacency | Convert an incidence matrix into an adjacency matrix. |
| indices | Indices that relate cnolist to model |
| minlpLBodeSSm | Search for the best combination of continuous parameters and logic gates. |
| model | A model from CellNoptR |
| parEstimationLBode | Perform parameter estimation using a genetic algorithm (package genalg) or ssm (if package essm available). |
| parEstimationLBodeGA | Perform parameter estimation using a genetic algorithm (package genalg). |
| parEstimationLBodeSSm | Perform parameter estimation using essR. |
| pknmodel | A pknmodel from CellNoptR |
| plotLBodeFitness | Plot data against simulated values. |
| plotLBodeModelSim | Simulate the model and plot the obtained with the different experimental conditions. |
| runCNORode | runCNORode |
| simdata2cnolist | converts output of getLBodeModelSim to cnolist |
| simulate | Simulate value signals a CNO list With Logic-Based ODEs. |