skills/pkpd-modeling/scripts/tdm_bayes.py

• PopulationModel · class · L43-L56 — class PopulationModel
• individualise · method · L55-L56 — def individualise(self, weight: float | None, crcl: float | None) -> tuple[float, float]
• VancomycinAdult · class · L60-L66 — class VancomycinAdult(PopulationModel)
• individualise · method · L61-L66 — def individualise(self, weight: float | None, crcl: float | None) -> tuple[float, float]
• map_estimate · function · L85-L139 — def map_estimate( model: PopulationModel, cl_prior: float, v_prior: float, dose: float, interval: float, n_doses: int, infusion: float, levels: list[tuple[float, float]], ) -> dict
• predict · function · L104-L109 — def predict(eta: np.ndarray, times: np.ndarray) -> np.ndarray
• objective · function · L114-L119 — def objective(eta: np.ndarray) -> float
• exposure_metrics · function · L142-L155 — def exposure_metrics(cl: float, v: float, dose: float, interval: float, infusion: float) -> dict
• recommend_dose · function · L158-L160 — def recommend_dose(cl: float, target_auc24: float) -> float
• _level · function · L166-L176 — def _level(text: str) -> tuple[float, float]
• build_parser · function · L179-L202 — def build_parser() -> argparse.ArgumentParser
• run · function · L205-L308 — def run(argv: Sequence[str] | None = None) -> int