Compares the complete-case analytic sample of a reference model against each
other model in a named list, flagging covariates whose sample composition
shifts (|(S)MD| > threshold). Engine-agnostic: it reads variable names from
each model and recomputes samples on data, so it works for lm, glm,
feols, coxph, weighted fits, etc. Models are never refit.
Usage
balance_models(
models,
data,
reference = 1,
covariates = NULL,
threshold = 0.1,
extra_vars = NULL,
include_outcome = FALSE
)Arguments
- models
Named list of fitted models. The names label the comparisons.
- data
The shared source data frame (a superset of every model's rows).
- reference
Name or index of the model that defines the baseline sample.
- covariates
Optional character vector of covariates to assess. Default: the union of all models' predictors present in
data.- threshold
Flag covariates with
|(S)MD|above this (default 0.1).- extra_vars
Additional variables that drive listwise deletion (e.g. a weight or cluster column not detected from the call).
- include_outcome
Assess the outcome variable too (default FALSE).