DESCRIPTION

Package: mlumr
Title: Multilevel Unanchored Meta-Regression for Indirect Treatment Comparisons
Version: 0.1.0
Authors@R: c(
    person("Ahmad", "Sofi-Mahmudi", , "a.sofimahmudi@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0001-6829-0823")),
    person("Conor", "Chandler", role = "aut",
           comment = c(ORCID = "0000-0002-1365-9002")))
Description: 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.
License: GPL-3
URL: https://github.com/choxos/mlumr, https://choxos.github.io/mlumr/
BugReports: https://github.com/choxos/mlumr/issues
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
Biarch: true
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
Additional_repositories: https://stan-dev.r-universe.dev
SystemRequirements: GNU make
Config/testthat/edition: 3
VignetteBuilder: knitr
Config/roxygen2/version: 8.0.0