riskRegression() function: confusing examples in R package riskRegression vignette-CodePudding

I am having trouble interpreting the riskRegression() function in the R package riskRegression:

https://cran.r-project.org/web/packages/riskRegression/riskRegression.pdf

I looked over the examples under this function in the package vignette, but none of them actually use this function name. They use different function names such as LRR() or ARR(), so I am rather confused as to what the function actually does.

CodePudding user response：

You can see from the source code below that ARR() and LRR() are just wrappers for riskRegression(link="relative") and riskRegression(link="logistic"), respectively.

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)}