R: Balancing Confounder Distributions with Forest Energy Balancing

# Balancing Confounder Distributions with Forest Energy Balancing

## Documentation for package ‘forestBalance’ version 0.1.0

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

## Help Pages

forestBalance-package | forestBalance: Forest Kernel Energy Balancing for Causal Inference
compute_balance | Compute covariate balance diagnostics for a set of weights
forestBalance | forestBalance: Forest Kernel Energy Balancing for Causal Inference
forest_balance | Estimate ATE using forest-based kernel energy balancing
forest_kernel | Compute random forest proximity kernel from a GRF forest
get_leaf_node_matrix | Extract leaf node membership matrix from a GRF forest
kernel_balance | Kernel energy balancing weights via closed-form solution
leaf_node_kernel | Compute random forest proximity kernel from a leaf node matrix
leaf_node_kernel_Z | Build the sparse indicator matrix Z from a leaf node matrix
print.forest_balance | Print a forest_balance object
print.forest_balance_diag | Compute covariate balance diagnostics for a set of weights
print.summary.forest_balance | Summarize a forest_balance object
simulate_data | Simulate observational study data with confounding
summary.forest_balance | Summarize a forest_balance object