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mlumr

0.1.0

Multilevel Unanchored Meta-Regression for Indirect Treatment Comparisons

0packages depend
1.2Kdownloads / year
79.9%test coverage
13/13checks pass

Overview

About
Maintained by Ahmad Sofi-MahmudiFirst published 2026-05-201 releasesCRAN page ↗GitHub ↗

Bayesian multilevel unanchored meta-regression (ML-UMR) for indirect treatment comparisons using individual patient data (IPD) and aggregate data (AgD). Implements shared prognostic factor assumption (SPFA) and relaxed SPFA models for binary, continuous, and count outcomes via 'Stan'. Also provides simulated treatment comparison (STC) via parametric G-computation and naive unadjusted benchmarks. ML-UMR is an adaptation of the ML-NMR methodology (Phillippo et al. 2020, doi:10.1111/rssa.12579) implemented in the 'multinma' package (GPL-3) to the unanchored two-trial case; the public API deliberately mirrors multinma's so users can move between ML-NMR and ML-UMR with the same workflow.

Install

Health

CRAN checks
13OK
Slowest check: 23.9 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.49
79.9%
Coverage · measured lines
100%
Documentation · exports
8
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
  • OK2026-07-29
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-07-27
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-05-21
    2 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
32%
Documented parameters
100%
Return-value docs
100%
References docs
1%

Downloads

1.2K
CRAN downloads in the past year
Rank #7,770 · ~3/day · ~100/mo
Daily download trend is not available in this view yet.
24530 days
1.1K90 days
1.2K1 year
Compare downloads with other packages →
Also on67 r2u24 autocran

Repository

Repository
12Stars
1Forks
0Open issues
1Open PRs
1Releases
4Commits
1Contributors
rr-packager-statsstatisticsbayesianhealth-technology-assessmentindirect-treatment-comparisonmultilevel-models
4 commits · Last activity 2026-07-25 · 0% stars, 30d

Stars over time

2026-05-20 · 22026-07-13 · 12

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/choxos/mlumr on 2026-08-23.

Continuous integration (1)
GitHub Actions
CRAN release process (1)
cran-comments.md
Lint, format, editor (2)
lintrRStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
20 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

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

1 release. R releases are shown for context.

  • 0.1.0Latest
    2026-05-20 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-05-20
Total releases
1 / 1 yrs
License
GPL-3 OSI
Additional repositories
stan-dev.r-universe.dev
Minimum R
≥ 4.1.0
Download size
395 KB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mlumr")
Sofi-Mahmudi, A., & Chandler, C. (2026). mlumr: Multilevel Unanchored Meta-Regression for Indirect Treatment Comparisons (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.mlumr

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for mlumr version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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