% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/regression_model.R
\name{regression_model}
\alias{regression_model}
\title{Create a regression model programatically}
\usage{
regression_model(
  data,
  outcome.str,
  auto.mode = TRUE,
  formula.str = NULL,
  args.list = NULL,
  fun = NULL,
  vars = NULL,
  ...
)
}
\arguments{
\item{data}{data set}

\item{outcome.str}{Name of outcome variable. Character vector.}

\item{auto.mode}{Make assumptions on function dependent on outcome data format. Overwrites other arguments.}

\item{formula.str}{Formula as string. Passed through 'glue::glue'. If given, 'outcome.str' and 'vars' are ignored. Optional.}

\item{args.list}{List of arguments passed to 'fun' with 'do.call'.}

\item{fun}{Name of function as character vector or function to use for model creation.}

\item{vars}{character vector of variables to include}

\item{...}{ignored for now}
}
\value{
object of standard class for fun
}
\description{
Create a regression model programatically
}
\examples{
gtsummary::trial |>
  regression_model(outcome.str = "age")
gtsummary::trial |>
  regression_model(
    outcome.str = "age",
    auto.mode = FALSE,
    fun = "stats::lm",
    formula.str = "{outcome.str}~.",
    args.list = NULL
  )
gtsummary::trial |> regression_model(
  outcome.str = "trt",
  auto.mode = FALSE,
  fun = "stats::glm",
  args.list = list(family = binomial(link = "logit"))
)
}