Package: crossnma Title: Cross-Design & Cross-Format Network Meta-Analysis and Regression Version: 1.3.2 Date: 2026-06-19 Depends: R (>= 4.0.0), meta (>= 8.5-0), netmeta (>= 3.5-0) Imports: rjags, coda, dplyr, plyr, rlang, magrittr, tidyr, ggplot2 Suggests: rmarkdown, knitr Authors@R: c( person("Tasnim", "Hamza", email = "hamza.a.tasnim@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-4700-6990")), person("Guido", "Schwarzer", email = "guido.schwarzer@uniklinik-freiburg.de", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-6214-9087")), person("Georgia", "Salanti", email = "georgia.salanti@ispm.unibe.ch", role = "aut", comment = c(ORCID = "0000-0002-3830-8508"))) Author: Tasnim Hamza [aut] (), Guido Schwarzer [aut, cre] (), Georgia Salanti [aut] () Maintainer: Guido Schwarzer URL: https://github.com/guido-s/crossnma Description: Network meta-analysis and meta-regression (allows including up to three covariates) for individual participant data, aggregate data, and mixtures of both formats using the three-level hierarchical model. Each format can come from randomized controlled trials or non-randomized studies or mixtures of both. Estimates are generated in a Bayesian framework using JAGS. The implemented models are described by Hamza et al. 2023 . License: GPL (>=2) Encoding: UTF-8 LazyData: true VignetteBuilder: knitr Config/roxygen2/version: 8.0.0 Config/pak/sysreqs: cmake libglpk-dev make jags libicu-dev libxml2-dev libx11-dev Repository: https://guido-s.r-universe.dev Date/Publication: 2026-06-19 18:01:12 UTC RemoteUrl: https://github.com/guido-s/crossnma RemoteRef: HEAD RemoteSha: bfa49b95694dea93b79df24417495d180120e16b NeedsCompilation: no Packaged: 2026-07-20 08:11:40 UTC; root