broom_methods_crr: Broom methods for tidycrr objects

In tidycmprsk: Competing Risks Estimation

Broom methods for tidycrr objects

Description

Broom methods for tidycrr objects

Usage

## S3 method for class 'tidycrr'
tidy(x, exponentiate = FALSE, conf.int = FALSE, conf.level = x$conf.level, ...)

## S3 method for class 'tidycrr'
glance(x, ...)

## S3 method for class 'tidycrr'
augment(x, times = NULL, probs = NULL, newdata = NULL, ...)

Arguments

x	a tidycrr object
exponentiate	Logical indicating whether or not to exponentiate the coefficient estimates. Defaults to FALSE.
conf.int	Logical indicating whether or not to include a confidence interval in the tidied output. Defaults to FALSE.
conf.level	Level of the confidence interval. Default matches that in crr(conf.level=) (typically, 0.95)
...	not used
times	Numeric vector of times to obtain risk estimates at
probs	Numeric vector of quantiles to obtain estimates at
newdata	A base::data.frame() or tibble::tibble() containing all the original predictors used to create x. Defaults to NULL.

Value

a tibble

See Also

Other crr() functions: crr(), predict.tidycrr()

Examples

crr <- crr(Surv(ttdeath, death_cr) ~ age + grade, trial)

tidy(crr)

glance(crr)

augment(crr, times = 12)

tidycmprsk documentation built on Sept. 11, 2024, 7:24 p.m.