tidy.geeglm {broom} | R Documentation |
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 class 'geeglm' tidy( x, conf.int = FALSE, conf.level = 0.95, exponentiate = FALSE, quick = FALSE, ... )
x |
A |
conf.int |
Logical indicating whether or not to include a confidence
interval in the tidied output. Defaults to |
conf.level |
The confidence level to use for the confidence interval
if |
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 |
quick |
Logical indiciating if the only the |
... |
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
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.
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.
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) }