https://github.com/chstock/dtcompair

Comparison of Binary Diagnostic Tests in a Paired Study Design
https://github.com/chstock/dtcompair

clinical-epidemiology comparative-analysis cran diagnosis diagnostic-accuracy-studies diagnostic-likelihood-ratio diagnostic-tests medicine predictive-value r r-package sensitivity specificity

Last synced: about 2 months ago
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Comparison of Binary Diagnostic Tests in a Paired Study Design

• Host: GitHub
• URL: https://github.com/chstock/dtcompair
• Owner: chstock
• Created: 2023-01-28T20:09:29.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-10-07T13:16:05.000Z (about 1 year ago)
• Last Synced: 2025-07-17T22:14:02.155Z (3 months ago)
• Topics: clinical-epidemiology, comparative-analysis, cran, diagnosis, diagnostic-accuracy-studies, diagnostic-likelihood-ratio, diagnostic-tests, medicine, predictive-value, r, r-package, sensitivity, specificity
• Language: R
• Homepage: https://chstock.github.io/DTComPair/
• Size: 4.04 MB
• Stars: 2
• Watchers: 1
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.Rmd

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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%"

)

```

# DTComPair 

[![Lifecycle: stable](https://img.shields.io/badge/lifecycle-stable-brightgreen.svg)](https://lifecycle.r-lib.org/articles/stages.html#stable)

[![CRAN status](https://www.r-pkg.org/badges/version/DTComPair)](https://CRAN.R-project.org/package=DTComPair)

[![](http://cranlogs.r-pkg.org/badges/last-month/DTComPair)](https://cran.r-project.org/package=DTComPair)

[![](http://cranlogs.r-pkg.org/badges/grand-total/DTComPair)](https://cran.r-project.org/package=DTComPair)

Comparison of the accuracy of two binary diagnostic tests in a "paired" study design, i.e. when each test is applied to each subject in the study.

## Installation

**CRAN**

You can install the current stable version from CRAN with:

```{r cran-installation, eval = FALSE}

install.packages("DTComPair")

```

**GitHub**

You can install the current development version from GitHub with:

```{r gh-installation, eval = FALSE}

if (!require("remotes")) {install.packages("remotes")}

remotes::install_github("chstock/DTComPair")

```

## Scope

Diagnostic accuracy measures that can be computed and compared are sensitivity, specificity, positive and negative predictive values, and positive and negative diagnostic likelihood ratios.  

## Getting Started

**Determine the accuracy of one diagnostic test**

```{r getting-started1}

library(DTComPair)

data(Paired1) # Hypothetical study data

a1 <- tab.1test(d=d, y=y1, data=Paired1)

print(a1)

a1 |> acc.1test(method.ci = "waldci") # default Wald intervals

a1 |> acc.1test(method.ci = "exactci") # Clopper-Pearson intervals

```

**Compare the accuracy of two diagnostic tests**

***Compute accuracy measures***

```{r getting-started2}

b1 <- tab.paired(d = d, y1 = y1, y2 = y2, data = Paired1)

print(b1)

b1 |> acc.paired(method.ci = "scoreci") # Wilson intervals

```

***Compare predictive values***

Test based on weighted generalized score statistic:

```{r getting-started3a}

pv.wgs(b1)  

```

Estimation and test of relative predictive values:

```{r getting-started3b}

pv.rpv(b1)

```