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, ...)

Arguments

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.

See also

tidy(), muhaz::muhaz()

Other muhaz tidiers: glance.muhaz

Value

A tibble::tibble() with columns:

time

Point in time.

estimate

Estimated hazard rate.

Examples

library(muhaz) data(ovarian, package="survival") x <- muhaz::muhaz(ovarian$futime, ovarian$fustat) tidy(x)
#> # A tibble: 101 x 2 #> time estimate #> <dbl> <dbl> #> 1 0 0.000255 #> 2 7.44 0.000274 #> 3 14.9 0.000293 #> 4 22.3 0.000312 #> 5 29.8 0.000332 #> 6 37.2 0.000352 #> 7 44.6 0.000372 #> 8 52.1 0.000392 #> 9 59.5 0.000411 #> 10 67.0 0.000431 #> # ... with 91 more rows
#> # A tibble: 1 x 5 #> nobs min.time max.time min.hazard max.hazard #> <int> <dbl> <dbl> <dbl> <dbl> #> 1 26 0 744 0.000212 0.00111