dot-make_PreSandwichLayer: (Internal) Get covariance adjustments and their gradient with...

In propertee: Standardization-Based Effect Estimation with Optional Prior Covariance Adjustment

(Internal) Get covariance adjustments and their gradient with respect to covariance adjustment model coefficients

Description

.make_PreSandwichLayer() takes a fitted covariance adjustment model passed to the model argument and generates adjustments to outcomes for observations in the newdata argument. It also evaluates the gradient of the adjustments taken with respect to the coefficients at the coefficient estimates.

Usage

.make_PreSandwichLayer(model, newdata = NULL, ...)

Arguments

model	a fitted model to use for generating covariance adjustment values
newdata	a dataframe with columns called for in model
...	additional arguments to pass on to model.frame and model.matrix. These cannot include na.action, xlev, or contrasts.arg: the former is fixed to be na.pass, while the latter two are provided by elements of the model argument.

Value

A PreSandwichLayer object

propertee documentation built on Aug. 22, 2025, 1:09 a.m.