dot-update_ca_model_formula: (Internal) Add columns for merging covariance adjustment and...

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

(Internal) Add columns for merging covariance adjustment and direct adjustment samples to model formula

Description

(Internal) Add columns for merging covariance adjustment and direct adjustment samples to model formula

Usage

.update_ca_model_formula(model, by = NULL, specification = NULL)

Arguments

model	any model that inherits from a glm, lm, or robustbase::lmrob object
by	optional; a string or named vector of unique identifier columns in the data used to create specification and the data used to fit the covariance adjustment model. Default is NULL, in which case unit of assignment columns are used for identification (even if they do not uniquely identify units of observation). If a named vector is provided, names should represent variables in the data used to create specification, while values should represent variables in the covariance adjustment data.
specification	a StudySpecification object. Default is NULL, in which case a StudySpecification object is sought from higher up the call stack.

Details

This function is typically used prior to .get_data_from_model() and incorporates information provided in a by argument to ensure the necessary columns for merging the two samples are included in any model.frame() calls.

Value

formula

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