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mtrank

0.2-0

Ranking using Probabilistic Models and Treatment Choice Criteria

0packages depend
2.2Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Theodoros EvrenoglouFirst published 2025-01-313 releasesCRAN page ↗GitHub ↗

Estimation of treatment hierarchies in network meta-analysis using a novel frequentist approach based on treatment choice criteria (TCC) and probabilistic ranking models, as described by Evrenoglou et al. (2024) DOI:10.48550/arXiv.2406.10612. The TCC are defined using a rule based on the smallest worthwhile difference (SWD). Using the defined TCC, the NMA estimates (i.e., treatment effects and standard errors) are first transformed into treatment preferences, indicating either a treatment preference (e.g., treatment A > treatment B) or a tie (treatment A = treatment B). These treatment preferences are then synthesized using a probabilistic ranking model, which estimates the latent ability parameter of each treatment and produces the final treatment hierarchy. This parameter represents each treatments ability to outperform all the other competing treatments in the network. Here the terms ability to outperform indicates the propensity of each treatment to yield clinically important and beneficial effects when compared to all the other treatments in the network. Consequently, larger ability estimates indicate higher positions in the ranking list.

Install

Health

CRAN checks
13OK
Slowest check: 7.5 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
6
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 1 earlier snapshots
  • ERROR2026-03-10
    6 OK · 0 NOTE · 0 WARNING · 8 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
95%
Return-value docs
100%
References docs
70%

Downloads

2.2K
CRAN downloads in the past year
Rank #20,279 · ~6/day · ~183/mo
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11930 days
54290 days
2.2K1 year
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Repository

Repository
1Stars
1Forks
0Open issues
0Open PRs
0Releases
116Commits
4Contributors
License GPL-2.0 · 116 commits · Last activity 2025-06-04

Stars over time

2024-09-23 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

Checks run against github.com/tevrenoglou/mtrank on 2026-08-16.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)
Depends (3)
R >= 4.0.0metanetmeta
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.2-0Latest
    2025-06-04 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1-1
    2025-02-26 · diff ↗
  • 0.1-0
    2025-01-31
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2025-01-31
Total releases
3 / 1 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.0.0
Bundled data
2.9 KB / 2 files
Download size
119 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mtrank")
Evrenoglou, T., & Schwarzer, G. (2025). mtrank: Ranking using Probabilistic Models and Treatment Choice Criteria (Version 0.2-0) [Computer software]. https://doi.org/10.32614/CRAN.package.mtrank

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Cite the R Observatory

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APA

Balamuta, J. J. (2026). R Observatory: Metrics for mtrank version 0.2-0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

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