pyDarwin 3.2.0¶
About:
User Guide:
- Installation
- Usage
- Examples
- Options List
- API
- High level functions
- Algorithms
- Model classes
- darwin.Template
- darwin.Model
- darwin.ModelCode
- darwin.ModelResults
BaseModelResultsBaseModelResults.JSON_ATTRIBUTESBaseModelResults.calc_fitness()BaseModelResults.can_postprocess()BaseModelResults.decode_r_stdout()BaseModelResults.handle_python_pp_result()BaseModelResults.get_results_str()BaseModelResults.get_message_text()BaseModelResults.to_dict()BaseModelResults.from_dict()
ModelResultsMOGAModelResultsMOGA3ModelResults
- darwin.ModelRun
ModelRunModelRun.get_model_results_class()ModelRun.set_status()ModelRun.init_stem()ModelRun.is_duplicate()ModelRun.started()ModelRun.is_unique()ModelRun.to_dict()ModelRun.from_dict()ModelRun.make_control_file()ModelRun.check_files_present_impl()ModelRun.run_command()ModelRun.run_model()ModelRun.finish()ModelRun.keep()ModelRun.cleanup()ModelRun.output_results()
write_best_model_files()run_to_json()json_to_run()log_run()
- darwin.Population
- Caching model runs
- Glossary
- Troubleshooting
- NLME integration
- Basic Model Structure and Statements
- Parameter Declarations
- Covariates
- Structural Model Definition
- Observation and Error Models
- Delays
- Built-In Functions
- Additional Statements and Features
- Model Generation Guidelines
- Modeling Complex Absorption Schemes
- A. Simultaneous (Parallel) Absorption (Zero-Order and First-Order)
- B. Sequential Absorption (Zero-Order followed by First-Order - ZOFO)
- C. Splitting a Single Dose into Different Administration Profiles (e.g., Bolus + Infusion)
- D. Parallel Absorption with Independent Lag Times
- Modeling Multiple Elimination Pathways
- Introduction to Metamodels
- Metamodel Structure
- Execution Control and Output
- Linking Data to the Model
- Advanced Dosing and a Complete Example
- Automated Model Search with pyDarwin
- The pyDarwin Execution Options File
- pyDarwin Best Practices
- Automated Search of Omega Structure