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, ...)
x | A |
---|---|
... | Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
Other muhaz tidiers:
glance.muhaz()
A tibble::tibble()
with columns:
Point in time.
Estimated hazard rate.
if (requireNamespace("muhaz", quietly = TRUE)) { if (requireNamespace("survival", quietly = TRUE)) { library(muhaz) library(survival) x <- muhaz(ovarian$futime, ovarian$fustat) 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