spec_model.Rd

% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/medlong.R
\name{spec_model}
\alias{spec_model}
\title{Model specification for G-formula}
\usage{
spec_model(
  formula,
  subset = NULL,
  family = "gaussian",
  order,
  type = c("exposure", "covariate", "mediator", "outcome", "censor", "survival")
)
}
\arguments{
\item{formula}{Formula for specified models passed to \code{\link[stats]{glm}}.
Must be contained within the input  dataframe when initialized.}

\item{subset}{an optional vector specifying a subset of observations to be used
in the fitting process (see \code{\link[stats]{glm}}).}

\item{family}{A description of the error distribution and link function
to be used in the \code{glm} model.}

\item{order}{Numeric, temporal ordering of the Covariates.}

\item{type}{Model type. Exposure model (\code{exposure}), covariate
model (\code{covariate}), mediator model (\code{mediator}), outcome
 model (\code{outcome}), mediator model (\code{survival}) or censoring model (\code{censor})}
}
\description{
Add a specified regression model for the exposure. This is used for natural course estimation
 of the Monte Carlo g-formula. This must be specified before calling the fit function.
}