fit_zeroinfl_normal: Fit Zero-Inflated Normal Model on Covariate

In CausalInference/gfoRmula: Parametric G-Formula

Fit Zero-Inflated Normal Model on Covariate

Description

This internal function models a zero-inflated normal distribution through the combined use of a generalized linear model (GLM) fit on a zero vs. non-zero indicator and a GLM fit on all non-zero values.

Usage

fit_zeroinfl_normal(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.