Tidy a(n) muhaz 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 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.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.

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
glance(x)
#> # 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