generate_vpc_data
Generate Visual Predictive Check (VPC) data for pharmacometric models using mrgsolve and vpc R packages without requiring NONMEM software.
Instructions
Generate VPC data using mrgsolve + vpc R package. No NONMEM needed. Requires observed data and model.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| model_code | No | Inline mrgsolve model code | |
| model_file | No | Path to mrgsolve .mod file | |
| observed_data_path | Yes | Path to observed dataset (required) | |
| n_sim | No | Number of simulations (default: 200) | |
| seed | No | Random seed | |
| pred_corr | No | Prediction-corrected VPC | |
| stratify_on | No | Stratification variable | |
| output_dir | No | Directory for output files |