R: Ranking using Probabilistic Models and Treatment Choice Criteria

# Ranking using Probabilistic Models and Treatment Choice Criteria

## 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.