R: Nonlinear Causal Dose-Response Estimation via Splines

# Nonlinear Causal Dose-Response Estimation via Splines

## Documentation for package ‘CausalSpline’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

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