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 muhaz tidy(x, ...)
x | A |
---|---|
... | Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
A tibble::tibble with two columns:
The time at which the hazard rate was estimated.
The estimated hazard rate.
tidy()
, muhaz::muhaz()
Other muhaz tidiers: glance.muhaz
if (require("muhaz", quietly = TRUE)) { data(ovarian, package="survival") x <- muhaz::muhaz(ovarian$futime, ovarian$fustat) tidy(x) glance(x) }#> Warning: there is no package called ‘muhaz’