dot-expand.model.frame_teeMod: Add new variables to a model frame from a 'teeMod' object

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

Add new variables to a model frame from a teeMod object

Description

A variation of expand.model.frame which works for teeMod objects

Usage

.expand.model.frame_teeMod(
  model,
  extras,
  envir = environment(formula(model)),
  na.expand = FALSE
)

Arguments

model	A teeMod object
extras	one-sided formula or vector of character strings describing new variables to be added
envir	an environment to evaluate things in
na.expand	logical; see stats::expand.model.frame for details

Details

When building a teeMod object inside lmitt(), we do a lot of manipulation of the variables involved in the model such that by the time the teeMod is produced, neither the outcome nor predictors actually fit in the model exist in the data passed into the call.

(E.g. to be specific, if a user calls myda <- lmitt(y ~ 1, data = mydata), then model.frame(myda) would contain column names not found in mydata.)

This is a clone of stats::expand.model.frame() which has one addition

• after extracting the model$call$data from model, it adds columns from model.frame(model) to the object. This ensures that the additional variables created during lmitt() can be found.

Trivial modifications from stats::expand.model.frame() include ensuring model is a teeMod object, and using the :: syntax as appropriate.

Value

A data.frame

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