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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 muhaz
tidy(x, ...)
A muhaz
object returned by muhaz::muhaz()
.
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.level = 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.
A tibble::tibble()
with columns:
Point in time.
Estimated hazard rate.
Other muhaz tidiers:
glance.muhaz()
# NOT RUN {
library(muhaz)
data(ovarian, package = "survival")
x <- muhaz::muhaz(ovarian$futime, ovarian$fustat)
tidy(x)
glance(x)
# }
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