fit_SensIAT_single_index_fixed_coef_model: Outcome Modeler for 'SensIAT' Single Index Model.

In SensIAT: Sensitivity Analysis for Irregular Assessment Times

Outcome Modeler for SensIAT Single Index Model.

Description

Outcome Modeler for SensIAT Single Index Model.

Usage

fit_SensIAT_single_index_fixed_coef_model(
  formula,
  data,
  kernel = "K2_Biweight",
  method = "nmk",
  id = ..id..,
  initial = NULL,
  ...
)

fit_SensIAT_single_index_fixed_bandwidth_model(
  formula,
  data,
  kernel = "K2_Biweight",
  method = "nmk",
  id = ..id..,
  initial = NULL,
  ...
)

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.
initial	Either a vector of initial values or a function to estimate initial values. If NULL (default), the initial values are estimated using the MAVE::mave.compute function.
...	Currently ignored, included for future compatibility.

Value

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

Functions

• fit_SensIAT_single_index_fixed_bandwidth_model(): for fitting with a fixed bandwidth

Examples

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

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

SensIAT documentation built on Sept. 9, 2025, 5:50 p.m.