Fit SensIAT Marginal Mean Model (Unified) — fit_marginal_model • SensIAT

This function fits a marginal mean model for sensitivity analysis, supporting both single-index (linear) and generalized linear outcome models.

Usage

fit_marginal_model(
  data,
  outcome.model,
  intensity.model,
  id,
  time,
  alpha = 0,
  knots,
  ...
)

Arguments

data: Data frame containing all required variables.
outcome.model: Outcome model object or formula (GLM, single-index, or LM).
intensity.model: Intensity model object (e.g., coxph).
id: Subject identifier variable.
time: Time variable.
alpha: Sensitivity parameter(s).
knots: Spline knot locations.
...: Additional arguments passed to underlying methods.

Value

A fitted SensIAT marginal mean model object.