crr: Competing Risks Regression

In tidycmprsk: Competing Risks Estimation

Competing Risks Regression

Description

Competing Risks Regression

Usage

## S3 method for class 'formula'
crr(formula, data, failcode = NULL, conf.level = 0.95, ...)

crr(x, ...)

## Default S3 method:
crr(x, ...)

Arguments

formula	formula with Surv() on LHS and covariates on RHS. The event status variable must be a factor, with the first level indicating 'censor' and subsequent levels the competing risks. The Surv(time2=) argument cannot be used.
data	data frame
failcode	Indicates event of interest. If ⁠failcode=⁠ is NULL, the first competing event will be used as the event of interest. Default is NULL.
conf.level	confidence level. Default is 0.95.
...	passed to methods
x	input object

Value

tidycrr object

See Also

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

Examples

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

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