pred_fun_Y: Fit Outcome Model

In CausalInference/gfoRmula: Parametric G-Formula

Fit Outcome Model

Description

This internal function fits a generalized linear model (GLM) for the outcome variable using the observed data.

Usage

pred_fun_Y(
  model,
  yrestrictions,
  outcome_type,
  outcome_name,
  time_name,
  obs_data,
  model_fits,
  ymodel_fit_custom
)

Arguments

model	Model statement for the outcome variable.
yrestrictions	List of vectors. Each vector containins as its first entry a condition and its second entry an integer. When the condition is TRUE, the outcome variable is simulated according to the fitted model; when the condition is FALSE, the outcome variable takes on the value in the second entry.
outcome_type	Character string specifying the "type" of the outcome. The possible "types" are: "survival", "continuous_eof", and "binary_eof".
outcome_name	Character string specifying the name of the outcome variable in obs_data.
time_name	Character string specifying the name of the time variable in obs_data.
obs_data	Data on which the model is fit.
model_fits	Logical scalar indicating whether to return the fitted models. The default is FALSE.
ymodel_fit_custom	Function specifying a custom outcome model. See the vignette "Using Custom Outcome Models in gfoRmula" for details.

Value

Fitted model for the outcome variable.

CausalInference/gfoRmula documentation built on Oct. 1, 2024, 8:36 p.m.