Package index

All functions

compute_balance() print(<forest_balance_diag>)

Compute covariate balance diagnostics for a set of weights

forestBalance forestBalance-package

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

simulate_data()

Simulate observational study data with confounding

summary(<forest_balance>) print(<summary.forest_balance>)

Summarize a forest_balance object