Ranking using Probabilistic Models and Treatment Choice Criteria

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Documentation for package ‘mtrank’ version 0.2-0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

mtrank-package	mtrank: Brief overview
antidepressants	Network meta-analysis for major depressive disorder
diabetes	Network meta-analysis studying the incidence of diabetes
fitted.mtrank	Calculate pairwise fitted probabilities for 'mtrank' object.
forest.mtrank	Forest plot of ability estimates produced with 'mtrank'
forest.tcc	Forest plot showing the treatment preference format of the NMA estimates according to treatment choice criterion.
linegraph	Line graph showing the results of 'mtrank' across different smallest worthwhile difference (SWD) values
mtrank	Estimate the treatment hierarchy in network meta-analysis using a probabilistic ranking model
pp2long	Auxiliary function to transform data from paired-preference to long-arm format
print.fitted.mtrank	Calculate pairwise fitted probabilities for 'mtrank' object.
print.mtrank	Estimate the treatment hierarchy in network meta-analysis using a probabilistic ranking model
print.tcc	Apply a treatment-choice criterion (TCC) to get treatment preferences based on network meta-analysis estimates.
tcc	Apply a treatment-choice criterion (TCC) to get treatment preferences based on network meta-analysis estimates.