pred_fun_Y function

Fit Outcome Model

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

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.

Returns

Fitted model for the outcome variable.