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.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.
Other muhaz tidiers:
glance.muhaz()
# feel free to ignore the following two lines—they allow {broom} to supply
# examples without requiring the model/data-supplying packages to be installed.
if (requireNamespace("muhaz", quietly = TRUE)) {
if (requireNamespace("survival", quietly = TRUE)) {
# load libraries for models and data
library(muhaz)
library(survival)
# fit model
x <- muhaz(ovarian$futime, ovarian$fustat)
# summarize model fit with tidiers
tidy(x)
glance(x)
}
}
#> # A tibble: 1 × 5
#> nobs min.time max.time min.hazard max.hazard
#> <int> <dbl> <dbl> <dbl> <dbl>
#> 1 26 0 744 0.000212 0.00111