{ "_id": "6a1ed4f6b401979e7340e416", "Package": "mlumr", "Title": "Multilevel Unanchored Meta-Regression for Indirect Treatment\nComparisons", "Version": "0.1.0", "Authors@R": "c(\nperson(\"Ahmad\", \"Sofi-Mahmudi\", , \"a.sofimahmudi@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0001-6829-0823\")),\nperson(\"Conor\", \"Chandler\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-1365-9002\")))", "Description": "Bayesian multilevel unanchored meta-regression (ML-UMR)\nfor indirect treatment comparisons using individual patient\ndata (IPD) and aggregate data (AgD). Implements shared\nprognostic factor assumption (SPFA) and relaxed SPFA models for\nbinary, continuous, and count outcomes via 'Stan'. Also\nprovides simulated treatment comparison (STC) via parametric\nG-computation and naive unadjusted benchmarks. ML-UMR is an\nadaptation of the ML-NMR methodology (Phillippo et al. 2020,\n) implemented in the 'multinma' package\n(GPL-3) to the unanchored two-trial case; the public API\ndeliberately mirrors multinma's so users can move between\nML-NMR and ML-UMR with the same workflow.", "License": "GPL-3", "URL": "https://github.com/choxos/mlumr, https://choxos.github.io/mlumr/", "BugReports": "https://github.com/choxos/mlumr/issues", "Encoding": "UTF-8", "Biarch": "true", "Additional_repositories": "https://stan-dev.r-universe.dev", "SystemRequirements": "GNU make", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "Config/roxygen2/version": "8.0.0", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-20 13:55:28 UTC", "User": "root" }, "Author": "Ahmad Sofi-Mahmudi [aut, cre] (ORCID:\n), Conor Chandler [aut]\n(ORCID: )", "Maintainer": "Ahmad Sofi-Mahmudi ", "Config/pak/sysreqs": "make", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-05-20 08:30:02 UTC", 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