The Plate Plot for Network Meta-Analysis Results
c(
person("Zhenxun", "Wang", email = "wang6795@umn.edu", role = c("aut", "cre")),
person("Lifeng", "Lin", email = "llin4@fsu.edu", role = "ctb"),
person("Shanshan", "Zhao", email = "shanshan.zhao@nih.gov", role = "ctb"),
person("Haitao", "Chu", email = "chux0051@umn.edu", role = "ctb")
)
A graphical display of results from network meta-analysis (NMA).
It is suitable for outcomes like odds ratio (OR), risk ratio (RR),
risk difference (RD) and standardized mean difference (SMD).
It also has an option to visually display and compare
the surface under the cumulative ranking (SUCRA) of different treatments.
Zhenxun Wang [aut, cre],
Lifeng Lin [ctb],
Shanshan Zhao [ctb],
Haitao Chu [ctb]

Complex Hierarchy Questions in Network Meta-Analysis
c(person("Adriani", "Nikolakopoulou",
role = "aut"),
person("Guido", "Schwarzer",
role = "aut",
comment = c(ORCID = "0000-0001-6214-9087")),
person("Theodoros", "Papakonstantinou",
role = c("aut", "cre"),
email = "dev@tpapak.com",
comment = c(ORCID = "0000-0002-6630-6817"))
)
Adriani Nikolakopoulou [aut],
Guido Schwarzer [aut] (<https://orcid.org/0000-0001-6214-9087>),
Theodoros Papakonstantinou [aut, cre]
(<https://orcid.org/0000-0002-6630-6817>)
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>.

Thresholds and Invariant Intervals for Network Meta-Analysis
Calculation and presentation of decision-invariant bias adjustment
thresholds and intervals for Network Meta-Analysis, as described by
Phillippo et al. (2017) <doi:10.1111/rssa.12341>. These describe the
smallest changes to the data that would result in a change of decision.
nnls, grid, gridExtra, gtable, Matrix, ggplot2

Calculation and presentation of decision-invariant bias adjustment
thresholds and intervals for Network Meta-Analysis, as described by
Phillippo et al. (2018) <doi:10.1111/rssa.12341>. These describe the
smallest changes to the data that would result in a change of decision.