Class "lbc_net" of Fitted LBC-Net Models

An object of class `lbc_net` represents a fitted LBC-Net model, including estimated propensity scores, local balance metrics, and model parameters.

Details

The `lbc_net` class provides methods for extracting fitted values, evaluating balance, and summarizing model performance. Below are the available S3 methods for objects of class `lbc_net`:

Usage

## S3 method for class 'lbc_net'
est_effect(object, Y, ...)

## S3 method for class 'lbc_net'
getLBC(object, names, ...)

## S3 method for class 'lbc_net'
print(object, ...)

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

The functions `gsd()` and `lsd()` are standard (non-S3) functions and should be called directly:

gsd(object, ...)
lsd(object, ...)

These methods allow users to efficiently analyze and interpret the results of the LBC-Net model for causal inference.

See also

lbc_net

for model fitting.

getLBC

for extracting components.

lsd and gsd

for balance assessment.

plot.lsd

for visualizing local balance results.