nmarank: Complex Hierarchy Questions in Network Meta-Analysis

Derives the most frequent hierarchies along with their probability of occurrence. One can also define complex hierarchy criteria and calculate their probability. Methodology based on Papakonstantinou et al. (2021) <doi:10.21203/rs.3.rs-858140/v1>.

Version:	0.3-0.1
Depends:	R (≥ 4.0.0), meta, netmeta (≥ 2.7-0)
Imports:	dplyr, tibble, rlang, MASS, data.tree, mvtnorm, tidyr
Suggests:	testthat
Published:	2025-12-29
DOI:	10.32614/CRAN.package.nmarank
Author:	Adriani Nikolakopoulou [aut], Guido Schwarzer [aut], Theodoros Papakonstantinou [aut, cre]
Maintainer:	Theodoros Papakonstantinou <dev at tpapak.com>
License:	GPL-3
URL:	https://github.com/tpapak/nmarank
NeedsCompilation:	no
Materials:	NEWS
In views:	MetaAnalysis
CRAN checks:	nmarank results

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