Tidy a(n) survexp 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 class 'survexp' tidy(x, ...)
x | 
 An   | 
... | 
 Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in   | 
A tibble::tibble() with columns:
n.risk | 
 Number of individuals at risk at time zero.  | 
time | 
 Point in time.  | 
estimate | 
 Estimate survival  | 
Other survexp tidiers: 
glance.survexp()
Other survival tidiers: 
augment.coxph(),
augment.survreg(),
glance.aareg(),
glance.cch(),
glance.coxph(),
glance.pyears(),
glance.survdiff(),
glance.survexp(),
glance.survfit(),
glance.survreg(),
tidy.aareg(),
tidy.cch(),
tidy.coxph(),
tidy.pyears(),
tidy.survdiff(),
tidy.survfit(),
tidy.survreg()
if (requireNamespace("survival", quietly = TRUE)) {
library(survival)
sexpfit <- survexp(
  futime ~ 1,
  rmap = list(
    sex = "male",
    year = accept.dt,
    age = (accept.dt - birth.dt)
  ),
  method = "conditional",
  data = jasa
)
tidy(sexpfit)
glance(sexpfit)
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