https://github.com/Merck/metalite

An R package to create metadata structure for ADaM data analysis and reporting
https://github.com/Merck/metalite

cdisc clinical-trials metadata r-package

Last synced: 3 months ago
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An R package to create metadata structure for ADaM data analysis and reporting

• Host: GitHub
• URL: https://github.com/Merck/metalite
• Owner: Merck
• License: gpl-3.0
• Created: 2022-04-14T17:23:02.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-08-02T18:18:46.000Z (3 months ago)
• Last Synced: 2024-08-03T04:48:36.596Z (3 months ago)
• Topics: cdisc, clinical-trials, metadata, r-package
• Language: R
• Homepage: https://merck.github.io/metalite/
• Size: 6.6 MB
• Stars: 14
• Watchers: 9
• Forks: 5
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • Changelog: NEWS.md
  • License: LICENSE.md

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• jimsghstars - Merck/metalite - An R package to create metadata structure for ADaM data analysis and reporting (R)

README

        
# metalite 

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

[![Codecov test coverage](https://codecov.io/gh/Merck/metalite/branch/main/graph/badge.svg)](https://app.codecov.io/gh/Merck/metalite?branch=main)

[![CRAN Downloads](https://cranlogs.r-pkg.org/badges/metalite)](https://CRAN.R-project.org/package=metalite)

[![R-CMD-check](https://github.com/Merck/metalite/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/Merck/metalite/actions/workflows/R-CMD-check.yaml)

[![status](https://tinyverse.netlify.app/badge/metalite)](https://cran.r-project.org/package=metalite)

Unified representation of metadata structure for

clinical analysis & reporting (A&R) by leveraging the

Analysis Data Model (ADaM) datasets.



## Installation

The easiest way to get metalite is to install from CRAN:

```r

install.packages("metalite")

```

Alternatively, to use a new feature or get a bug fix,

you can install the development version of metalite from GitHub:

```r

# install.packages("remotes")

remotes::install_github("Merck/metalite")

```

## Overview

The metalite framework is designed to:

- Standardize function input for analysis and reporting.

- Separate analysis logic from data source.

- Enable the use of pipes (`|>`).

- Reduce manual steps to develop and maintain documentation in clinical trial development.

- Ensure consistency between analysis specification, mock, and results.

## Use cases

The metalite package offers a foundation to simplify tool development

and create standard engineering workflows.

For example, metalite can be used to:

- Standardize input and output for A&R functions.

- Create analysis and reporting planning grid.

- Create mock table.

- Create and validate A&R results.

- Trace analysis records.

Note: metalite is a low-level R package

that needs to work with other R packages to complete the work.

The idea is illustrated in the diagram above.

## Design principles

We built metalite with the following principles:

- Automation: prefer a function call more than a checklist.

- Single-entry: enter in one place, sync to all deliveries.

  - For example, enter data source one time for all AE analysis.

- End-to-end: cover all steps in software development lifecycle (SDLC) from define to delivery.