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DESCRIPTION
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DESCRIPTION
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Package: crossnma
Title: Cross-Design & Cross-Format Network Meta-Analysis and Regression
Version: 1.2.0
Date: 2023-09-12
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