Функция RiskRegression(): запутанные примеры в R-пакете

Из приведенного ниже исходного кода видно, что ARR() и LRR() — это просто оболочки для riskRegression(link = "relative") и riskRegression(link = "logistic") соответственно.

library(riskRegression);ARR;LRR
#> riskRegression version 2022.11.21
#> function (formula, data, times, cause, cens.model, cens.formula, 
#>     ...) 
#> {
#>     fit <- riskRegression(formula = formula, data = data, times = times, 
#>         link = "relative", cause = cause, cens.model = cens.model, 
#>         cens.formula = cens.formula, ...)
#>     fit$call <- match.call()
#>     fit
#> }
#> <bytecode: 0x7f99ba1e1738>
#> <environment: namespace:riskRegression>
#> function (formula, data, times, cause, cens.model, cens.formula, 
#>     ...) 
#> {
#>     fit <- riskRegression(formula = formula, data = data, times = times, 
#>         link = "logistic", cause = cause, cens.model = cens.model, 
#>         cens.formula = cens.formula, ...)
#>     fit$call <- match.call()
#>     fit
#> }
#> <bytecode: 0x7f99ba2232e8>
#> <environment: namespace:riskRegression>

^{Created on 2022-11-26 by the reprex package (v2.0.1)}