Package: crossnma
Title: Cross-Design & Cross-Format Network Meta-Analysis and Regression
Version: 1.2.0
Date: 2023-09-18
Depends: R (>= 3.5), meta, netmeta (>= 2.8-0)
Imports: rjags, coda, dplyr, plyr, rlang, magrittr, tidyr, ggplot2
Suggests: rmarkdown, knitr
Authors@R: c(
	person("Tasnim", "Hamza",
	       email = "tasnim.hamza@ispm.unibe.ch", 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] (<https://orcid.org/0000-0002-4700-6990>),
  Guido Schwarzer [aut, cre] (<https://orcid.org/0000-0001-6214-9087>),
  Georgia Salanti [aut] (<https://orcid.org/0000-0002-3830-8508>)
Maintainer: Guido Schwarzer <guido.schwarzer@uniklinik-freiburg.de>
URL: https://github.com/htx-r/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 <DOI:10.1002/jrsm.1619>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2023-09-18 09:24:33 UTC; sc
Repository: CRAN
Date/Publication: 2023-09-18 09:50:02 UTC
Built: R 4.2.0; ; 2023-09-18 11:37:56 UTC; unix
