| barycentric_projection | Barycentric Projection outcome estimation |
| calc_weight | Estimate causal weights |
| causalWeights-class | causalWeights class |
| coef.causalEffect | Extract treatment effect estimate |
| cotOptions | Options available for the COT method |
| CRASH3 | CRASH3 data example |
| dataHolder | dataHolder |
| DataSim | R6 Data Generating Parent Class |
| df2dataHolder | df2dataHolder |
| entBWOptions | Options for the Entropy Balancing Weights |
| ESS | Effective Sample Size |
| ESS-method | Effective Sample Size |
| estimate_effect | Estimate treatment effects |
| Hainmueller | Hainmueller data example |
| LaLonde | LaLonde data example |
| mean_balance | Standardized absolute mean difference calculations |
| Measure | An R6 Class for setting up measures |
| OTProblem | Object Oriented OT Problem |
| ot_distance | Optimal Transport Distance |
| ot_distance.array | Optimal Transport Distance |
| ot_distance.causalWeights | Optimal Transport Distance |
| ot_distance.matrix | Optimal Transport Distance |
| ot_distance.torch_tensor | Optimal Transport Distance |
| plot.causalWeights | plot.causalWeights |
| plot.summary_causalWeights | Summary diagnostics for causalWeights |
| pph | An external control trial of treatments for post-partum hemorrhage |
| predict.bp | Predict method for barycentric projection models |
| print.dataHolder | print.dataHolder |
| print.summary_causalWeights | Summary diagnostics for causalWeights |
| PSIS | Pareto-Smoothed Importance Sampling |
| PSIS-method | Pareto-Smoothed Importance Sampling |
| PSIS_diag | Pareto-Smoothed Importance Sampling |
| PSIS_diag-method | Pareto-Smoothed Importance Sampling |
| sbwOptions | Options for the SBW method |
| scmOptions | Options for the SCM Method |
| summary.causalWeights | Summary diagnostics for causalWeights |
| supported_methods | Supported Methods |
| vcov.causalEffect | Get the variance of a causalEffect |