broom (version 0.5.6)

tidy.aareg: Tidy a(n) aareg object

Description

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.

Usage

# S3 method for aareg
tidy(x, ...)

Arguments

x

An aareg object returned from survival::aareg().

...

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.

Value

A tibble::tibble with one row for each coefficient and columns:

term

name of coefficient

estimate

estimate of the slope

statistic

test statistic for coefficient

std.error

standard error of statistic

robust.se

robust version of standard error estimate (only when x was called with dfbeta = TRUE)

z

z score

p.value

p-value

See Also

tidy(), survival::aareg()

Other aareg tidiers: glance.aareg()

Other survival tidiers: augment.coxph(), augment.survreg(), glance.aareg(), glance.cch(), glance.coxph(), glance.pyears(), glance.survdiff(), glance.survexp(), glance.survfit(), glance.survreg(), tidy.cch(), tidy.coxph(), tidy.pyears(), tidy.survdiff(), tidy.survexp(), tidy.survfit(), tidy.survreg()

Examples

# NOT RUN {
library(survival)

afit <- aareg(
  Surv(time, status) ~ age + sex + ph.ecog,
  data = lung,
  dfbeta = TRUE
)

tidy(afit) 

# }