Science Score: 67.0%
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
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✓DOI references
Found 5 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Scientific vocabulary similarity
Low similarity (8.4%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: CRSU-Apps
- License: gpl-3.0
- Language: R
- Default Branch: main
- Homepage: https://crsu.shinyapps.io/MetaCNMA/
- Size: 649 KB
Statistics
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 3
Metadata Files
README.md
MetaCNMA
MetaCNMA is an interactive application written in R using the RShiny package.
Currently the application is in alpha development so only core functionality is present.
This app uses the R package netmeta for Frequentist analysis and STAN models derived from Welton, N.J et al. for the Bayesian analysis from the MetaCNMABayes R package.
N.B Both these packages implement component network meta analysis differently, so you should expect different results from the Frequentist and Bayesian analysis, more details can been found in the Wiggle, A. and Béliveau, A. paper.
To use this app: First upload data using the Upload Data tab, you can then view a summary of the components under the Component Summary tabs.
Next conduct an analyis using the Frequentist Analyis and Bayesian Analysis tabs. You can modify the outcome and model settings in the Outcome & Model settings tab. For the bayesian analysis you can also modify the STAN sampler options using the settings button on the top right of the Forest Plot, or Model Diagnostics tabs, changing these settings will require you to rerun the model.
Additionally, select studies you may wish to excude for a sensitivety analysis.
N.B. The Frequentist analysis will run automatically when you view the forest plot, however the Bayesian analysis will require you to press the Run Model button.
Finally you can download any of the plots using the save button on the top right of the plots, these can be save as pdf, svg and png in any size.
Owner
- Name: CRSU Apps
- Login: CRSU-Apps
- Kind: organization
- Location: United Kingdom
- Website: http://www.nihrcrsu.org/
- Repositories: 3
- Profile: https://github.com/CRSU-Apps
Citation (CITATION.cff)
cff-version: 1.2.0
title: MetaCNMA
message: If you use this software, please cite it using these metadata.
type: software
authors:
- family-names: Field
given-names: Ryan
affiliation: University of Glasgow
orcid: 'https://orcid.org/0000-0002-4424-9890'
- family-names: Freeman
given-names: Suzanne
affiliation: University of Leicester
orcid: 'https://orcid.org/0000-0001-8045-4405'
- family-names: Smith
given-names: Ellesha
affiliation: University of Leicester
- family-names: Morris
given-names: Tom
affiliation: University of Leicester
repository-code: 'https://github.com/CRSU-Apps/MetaCNMA'
abstract: >-
MetaCNMA allows you to conduct a Component Network Meta Analysis (CNMA) within a web application.
keywords:
- Network Analysis
- Component Network Meta Analysis
- RShiny
license: GPL-3.0-or-later
version: 0.2.1
date-released: '2024-09-10'
GitHub Events
Total
- Push event: 1
Last Year
- Push event: 1
Dependencies
- actions/checkout v4 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-renv v2 composite
- actions/checkout v3 composite
- r-lib/actions/setup-r v2 composite