Package: mtrank
Title: Ranking using Probabilistic Models and Treatment Choice Criteria
Version: 0.3-0
Date: 2025-09-19
Depends: R (>= 4.0.0), meta (>= 8.1-0), netmeta (>= 3.2-0)
Imports: PlackettLuce, dplyr, magrittr, ggplot2
Suggests: rmarkdown, knitr
Authors@R: c(person("Theodoros", "Evrenoglou",
                    role = c("aut", "cre"),
                    email = "theodoros.evrenoglou@uniklinik-freiburg.de",
                    comment = c(ORCID = "0000-0003-3336-8058")),
             person("Guido", "Schwarzer",
                    role = "aut",
                    comment = c(ORCID = "0000-0001-6214-9087")))
Maintainer: Theodoros Evrenoglou
 <theodoros.evrenoglou@uniklinik-freiburg.de>
URL: https://github.com/TEvrenoglou/mtrank
Description: 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.
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Config/roxygen2/version: 8.1.0
Config/pak/sysreqs: cmake libglpk-dev libgmp3-dev make libicu-dev
        libxml2-dev pkg-config libx11-dev libclang-dev
Repository: https://tevrenoglou.r-universe.dev
Date/Publication: 2026-09-19 18:10:02 UTC
RemoteUrl: https://github.com/tevrenoglou/mtrank
RemoteRef: HEAD
RemoteSha: d795a2fe94cb41248f8034dce8943dfeb936887a
Packaged: 2026-10-19 11:30:51 UTC; root
Author: Theodoros Evrenoglou [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-3336-8058>),
  Guido Schwarzer [aut] (ORCID: <https://orcid.org/0000-0001-6214-9087>)