fit_bounded_continuous: Fit Bounded Normal Model on Covariate

In CausalInference/gfoRmula: Parametric G-Formula

Fit Bounded Normal Model on Covariate

Description

This internal function models a covariate using a "bounded normal" distribution by first standardizing the covariate values to the range [0, 1], noninclusive, then fitting a generalized linear model (GLM) under the Gaussian family function.

Usage

fit_bounded_continuous(
  covparams,
  covlink = NA,
  covname,
  obs_data,
  j,
  model_fits
)

Arguments

covparams	List of vectors, where each vector contains information for one parameter used in the modeling of the time-varying covariates (e.g., model statement, family, link function, etc.).
covlink	Vector of link functions.
covname	Name of the covariate at index j.
obs_data	Data on which the model is fit.
j	Integer specifying the index of the covariate.
model_fits	Logical scalar indicating whether to return the fitted models. The default is FALSE.

Value

Fitted model for the covariate at index j.

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