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https://github.com/tidymodels/survivalauc

What the Package Does (One Line, Title Case)
https://github.com/tidymodels/survivalauc

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What the Package Does (One Line, Title Case)

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README

          

---
output: github_document
---

```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```

# survivalauc

[![Codecov test coverage](https://codecov.io/gh/tidymodels/survivalauc/branch/main/graph/badge.svg)](https://codecov.io/gh/tidymodels/survivalauc?branch=main)
[![R-CMD-check](https://github.com/tidymodels/survivalauc/workflows/R-CMD-check/badge.svg)](https://github.com/tidymodels/survivalauc/actions)

The goal of survivalauc is to provide a function to calculate analternative method for estimating the time-dependent area under the ROC curve (AUC), sensitivity and specificity proposed in Chambless and Diao (Statistics in Medicine, 2006; 25, 3474–3486).

## Installation

You can install the released version of survivalauc from [CRAN](https://CRAN.R-project.org) with:

``` r
install.packages("survivalauc")
```

And the development version from [GitHub](https://github.com/) with:

``` r
# install.packages("devtools")
devtools::install_github("tidymodels/survivalauc")
```