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mlumr: Multilevel Unanchored Meta-Regression for Indirect Treatment Comparisons

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.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: methods, stats, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.26.0), rstantools (≥ 2.3.0), randtoolbox, copula
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.26.0), StanHeaders (≥ 2.26.0)
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, posterior, bayesplot, loo, Matrix, cmdstanr, withr
Published: 2026-05-20
DOI: 10.32614/CRAN.package.mlumr (may not be active yet)
Author: Ahmad Sofi-Mahmudi ORCID iD [aut, cre], Conor Chandler ORCID iD [aut]
Maintainer: Ahmad Sofi-Mahmudi <a.sofimahmudi at gmail.com>
BugReports: https://github.com/choxos/mlumr/issues
License: GPL-3
URL: https://github.com/choxos/mlumr, https://choxos.github.io/mlumr/
NeedsCompilation: yes
SystemRequirements: GNU make
Additional_repositories: https://stan-dev.r-universe.dev
Citation: mlumr citation info
Materials: NEWS
CRAN checks: mlumr results

Documentation:

Reference manual: mlumr.html , mlumr.pdf
Vignettes: Data Preparation and Integration (source, R code)
Introduction to mlumr (source, R code)
Fitting ML-UMR Models (source)
Comparing ML-UMR, STC, and Naive Methods (source)
STC and Naive Benchmarks (source)
Worked Example: Complete Analysis (source)

Downloads:

Package source: mlumr_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mlumr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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