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 across 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, ...)
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 |
... |
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 columns:
conf.high |
Upper bound on the confidence interval for the estimate. |
conf.low |
Lower bound on the confidence interval for the estimate. |
estimate |
The estimated value of the regression term. |
p.value |
The two-sided p-value associated with the observed statistic. |
statistic |
The value of a T-statistic to use in a hypothesis that the regression term is non-zero. |
std.error |
The standard error of the regression term. |
term |
The name of the regression term. |
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, conf.int = TRUE)
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