| CausalSpline-package | CausalSpline: Nonlinear Causal Dose-Response Estimation via Splines |
| CausalSpline | CausalSpline: Nonlinear Causal Dose-Response Estimation via Splines |
| causal_spline | Nonlinear causal dose-response estimation via splines |
| check_overlap | Diagnose positivity / overlap for a continuous treatment |
| dose_response_curve | Extract the dose-response curve data frame |
| fragility_curve | Geometric fragility curve for a CausalSpline fit |
| gps_model | Fit the Generalised Propensity Score model |
| gradient_curve | Numerical derivatives of a CausalSpline dose-response curve |
| plot.causal_spline | Plot the estimated dose-response curve |
| plot.fragility_curve | Plot method for fragility_curve objects |
| predict.causal_spline | Predict E[Y(t)] at new treatment values |
| print.causal_spline | Print method for causal_spline objects |
| region_fragility | Regional fragility summary for a CausalSpline fit |
| simulate_dose_response | Simulate nonlinear dose-response data |
| summary.causal_spline | Summary method for causal_spline objects |
| trim_weights | Trim extreme IPW weights |