tidy.aareg: Tidy a(n) aareg object
In tidymodels/broom: Convert Statistical Objects into Tidy Tibbles

tidy.aareg

R Documentation

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 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.

Usage

## S3 method for class '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. Two exceptions here are:

tidy() methods will warn when supplied an exponentiate argument if it will be ignored.
augment() methods will warn when supplied a newdata argument if it will be ignored.

Details

robust.se is only present when x was created with dfbeta = TRUE.

Value

A tibble::tibble() with columns:

`estimate`	The estimated value of the regression term.
`p.value`	The two-sided p-value associated with the observed statistic.
`robust.se`	robust version of standard error estimate.
`statistic`	The value of a T-statistic to use in a hypothesis that the regression term is non-zero.
`std.error`	The standard error of the regression term.
`term`	The name of the regression term.
`z`	z score.

Examples



# load libraries for models and data
library(survival)

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

# summarize model fit with tidiers
tidy(afit)

tidymodels/broom documentation built on Nov. 11, 2024, 7:34 a.m.