Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 10 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
    4 of 8 committers (50.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (12.6%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: htx-r
  • Language: R
  • Default Branch: main
  • Size: 2.42 MB
Statistics
  • Stars: 1
  • Watchers: 0
  • Forks: 2
  • Open Issues: 1
  • Releases: 0
Created over 4 years ago · Last pushed over 1 year ago
Metadata Files
Readme Changelog

README.md

crossnma: Cross-Design and Cross-Format Synthesis using Network Meta-Analysis and Network Meta-Regression

Official Git repository of R package crossnma

License: GPL (>=2) CRAN Version Monthly Downloads Total Downloads

Authors

Tasnim Hamza, Guido Schwarzer, Georgia Salanti

Description

crossnma is an R package that allows for synthesizing the data from randomized or non-randomized studies coming from individual-participants or aggregate data (Hamza et al., 2023). The package implements Bayesian models in network meta-analysis and network meta-regression through JAGS software (Hamza et al., 2024).

Installation

Current stable CRAN Version release:

r install.packages("crossnma")

Current beta / GitHub release:

Installation using R package remotes: r install.packages("remotes") remotes::install_github("htx-r/crossnma")

How to use crossnma?

There are two steps to conduct a network meta-analysis or meta-regression. The first step is to create a JAGS model using crossnma.model() which produces the JAGS code and transforms the data to the JAGS format. In the second step, the output of that function will be used in crossnma() to run the MCMC (Markov chain Monte Carlo) through JAGS.

We illustrate how to use crossnma through several examples in the vignette:

vignette("crossnma")

How to cite crossnma?

Hamza T, Schwarzer G, Salanti G (2024): crossnma: An R Package to Synthesize Cross-Design Evidence and Cross-Format Data Using Network Meta-Analysis and Network Meta-Regression. BMC Medical Research Methodology, 24, 169

A BibTeX entry for LaTeX users is provided by

citation(package = "crossnma")

Bug Reports:

r bug.report(package = "crossnma")

The bug.report function is not supported in RStudio. Please send an email to Tasnim Hamza hamza.a.tasnim@gmail.com if you use RStudio.

You can also report bugs on GitHub under Issues.

References

Hamza T, Chalkou K, Pellegrini F, Kuhle J, Benkert P, Lorscheider J, Zecca C, Iglesias-Urrutia CP, Manca A, Furukawa TA, Cipriani A, Salanti G (2023): Synthesizing cross-design evidence and cross-format data using network meta-regression. Research Synthesis Methods, 14, 283-300

Hamza T, Schwarzer G, Salanti G (2024): crossnma: An R Package to Synthesize Cross-Design Evidence and Cross-Format Data Using Network Meta-Analysis and Network Meta-Regression. BMC Medical Research Methodology, 24, 169

Owner

  • Name: HTx R software
  • Login: htx-r
  • Kind: organization

GitHub Events

Total
  • Push event: 5
  • Pull request event: 2
  • Pull request review event: 1
Last Year
  • Push event: 5
  • Pull request event: 2
  • Pull request review event: 1

Committers

Last synced: over 3 years ago

All Time
  • Total Commits: 100
  • Total Committers: 8
  • Avg Commits per committer: 12.5
  • Development Distribution Score (DDS): 0.59
Top Committers
Name Email Commits
TasnimHamza t****a@i****h 41
Tasnim t****3@A****l 39
Guido Schwarzer sc@i****e 9
Tasnim t****3@e****h 3
Tasnim t****3@e****h 3
TasnimHamza 3****a@u****m 2
Guido Schwarzer g****r@u****e 2
Tasnim t****3@e****h 1

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 1
  • Total pull requests: 14
  • Average time to close issues: about 2 months
  • Average time to close pull requests: about 2 months
  • Total issue authors: 1
  • Total pull request authors: 2
  • Average comments per issue: 1.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 12
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 3
  • Average time to close issues: N/A
  • Average time to close pull requests: 1 day
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • zhui126 (1)
Pull Request Authors
  • guido-s (13)
  • TasnimHamza (2)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 1,560 last-month
  • Total docker downloads: 21,613
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 4
  • Total maintainers: 1
cran.r-project.org: crossnma

Cross-Design & Cross-Format Network Meta-Analysis and Regression

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 1,560 Last month
  • Docker Downloads: 21,613
Rankings
Forks count: 21.9%
Dependent packages count: 29.8%
Stargazers count: 35.2%
Dependent repos count: 35.5%
Average: 38.9%
Downloads: 72.2%
Last synced: 11 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.5 depends
  • netmeta * depends
  • coda >= 0.19 imports
  • devtools * imports
  • dplyr >= 1.0.2 imports
  • ggplot2 >= 3.3.2 imports
  • magrittr >= 2.0.1 imports
  • plyr >= 1.8.6 imports
  • rjags >= 4 imports
  • rlang >= 0.4.11 imports
  • tidyr >= 1.1.2 imports
  • knitr * suggests
  • rmarkdown * suggests