Summary of an lsd Object — summary.lsd • LBCNet

Provides a structured summary of an `lsd` object.

Usage

# S3 method for class 'lsd'
summary(object, ...)

Arguments

object: An object of class `"lsd"`, generated by `lsd()`.
...: Additional arguments passed to the specific method.

Value

A structured summary of the `lbc_net` object, including:

Average local balance over all cks for each covariate.
Local balance summary: `lsd_max`, `lsd_mean` for local standardized mean difference calculated during training.
Sample characteristics: `sample_size`, `num_covariates`, `treated_size`, `control_size`.

Details

The function extracts key model components using getLBC.

See also

Examples

if (FALSE) { # \dontrun{
model <- lbc_net(data = data, formula = Tr ~ X1 + X2 + X3 + X4)
lsd_result <- lsd(model)
summary(lsd_result)
} # }