Outcome Modeler for SensIAT Single Index Model. — SensIAT_sim_outcome_modeler • SensIAT

Outcome Modeler for SensIAT Single Index Model.

Usage

SensIAT_sim_outcome_modeler(
  formula,
  data,
  kernel = "K2_Biweight",
  method = "nmk",
  id = ..id..,
  ...
)

Arguments

formula: The outcome model formula
data: The data to fit the outcome model to. Should only include follow-up data, i.e. time > 0.
kernel: The kernel to use for the outcome model.
method: The optimization method to use for the outcome model, either "optim", "nlminb", or "nmk".
id: The patient identifier variable for the data.
...: Currently ignored, included for future compatibility.

Value

Object of class SensIAT::Single-index-outcome-model which contains the outcome model portion.

Examples

# A basic example using fixed intensity bandwidth.
object <-
    fit_SensIAT_within_group_model(
        group.data = SensIAT_example_data,
        outcome_modeler = SensIAT_sim_outcome_modeler,
        id = Subject_ID,
        outcome = Outcome,
        time = Time,
        knots = c(60,260,460),
        End = 830,
        intensity.args=list(bandwidth=30)
    )