aggregate_outcome_by_level: Aggregate outcome to specified cluster level

In simglm: Simulate Models Based on the Generalized Linear Model

Aggregate outcome to specified cluster level

Description

Takes individual-level linear predictors and aggregates them to the specified cluster level. This is used for cluster-level treatment assignment in propensity score models.

Usage

aggregate_outcome_by_level(
  outcome,
  data,
  sim_args,
  multinomial_categories = NULL
)

Arguments

outcome	Numeric vector or matrix of linear predictors (untransformed outcomes)
data	Data frame containing cluster ID variables
sim_args	Simulation arguments list containing outcome_level specification
multinomial_categories	Categories for multinomial outcome transformation

Value

Aggregated outcome vector with cluster-level values repeated for all individuals within each cluster

simglm documentation built on Sept. 2, 2026, 1:07 a.m.