Optimal Transport Weights for Causal Inference
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Documentation for package ‘causalOT’ version 0.1
Help Pages
| calc_weight | Estimate causal weights |
| causalEffect-class | causalEffect class |
| causalOT | An R package to perform causal inference using optimal transport distances. |
| causalWeights-class | causalWeights class |
| confint.causalEffect | Confidence Intervals for Causal Effects |
| cost_fun | Calculate cost matrix for a given estimand |
| DataSim | R6 Data Generating Parent Class |
| dist.metrics | Supported distance metrics |
| ESS | Effective Sample Size |
| ESS-method | Effective Sample Size |
| estimate_effect | Estimate treatment effects |
| Hainmueller | Hainmueller data example |
| LaLonde | LaLonde data example |
| mean_bal | Standardized absolute mean difference calculations |
| ot.methods | Supported optimal transport methods |
| pph | An external control trial of treatments for post-partum hemorrhage |
| PSIS | Pareto-Smoothed Importance Sampling |
| PSIS-method | Pareto-Smoothed Importance Sampling |
| PSIS_diag | Pareto-Smoothed Importance Sampling |
| PSIS_diag-method | Pareto-Smoothed Importance Sampling |
| sampleWeights-class | sampleWeights class |
| sinkhorn | Sinkhorn Loss |
| supported.methods | Supported weighting methods |
| supported.solvers | Supported solvers |