Tidy a(n) geeglm object

Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies cross models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.

# S3 method for geeglm
tidy(x, conf.int = FALSE, conf.level = 0.95,
  exponentiate = FALSE, quick = FALSE, ...)

Arguments

x	A geeglm object returned from a call to geepack::geeglm().
conf.int	Logical indicating whether or not to include a confidence interval in the tidied output. Defaults to FALSE.
conf.level	The confidence level to use for the confidence interval if conf.int = TRUE. Must be strictly greater than 0 and less than 1. Defaults to 0.95, which corresponds to a 95 percent confidence interval.
exponentiate	Logical indicating whether or not to exponentiate the the coefficient estimates. This is typical for logistic and multinomial regressions, but a bad idea if there is no log or logit link. Defaults to FALSE.
quick	Logical indiciating if the only the term and estimate columns should be returned. Often useful to avoid time consuming covariance and standard error calculations. Defaults to FALSE.
...	Additional arguments. Not used. Needed to match generic signature only. Cautionary note: Misspelled arguments will be absorbed in ..., where they will be ignored. If the misspelled argument has a default value, the default value will be used. For example, if you pass conf.lvel = 0.9, all computation will proceed using conf.level = 0.95. Additionally, if you pass newdata = my_tibble to an augment() method that does not accept a newdata argument, it will use the default value for the data argument.

Value

A tibble::tibble with one row for each coefficient, with five columns:

term

The term in the linear model being estimated and tested

estimate

The estimated coefficient

std.error

The standard error from the GEE model

statistic

Wald statistic

p.value

two-sided p-value

If conf.int = TRUE, includes includes columns conf.low and conf.high, which are computed internally.

Details

If conf.int = TRUE, the confidence interval is computed with the an internal confint.geeglm() function.

If you have missing values in your model data, you may need to refit the model with na.action = na.exclude or deal with the missingness in the data beforehand.

See also

tidy(), geepack::geeglm()

Examples

if (requireNamespace("geepack", quietly = TRUE)) {
  library(geepack)
  data(state)

  ds <- data.frame(state.region, state.x77)

  geefit <- geeglm(Income ~ Frost + Murder, id = state.region,
                   data = ds, family = gaussian,
                   corstr = "exchangeable")

  tidy(geefit)
  tidy(geefit, quick = TRUE)
  tidy(geefit, conf.int = TRUE)
}