# Optimal Transport Weights for Causal Inference

## Documentation for package ‘causalOT’ version 1.0.2

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

## Help Pages

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