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TBFmultinomial: TBF Methodology Extension for Multinomial Outcomes

Extends the test-based Bayes factor (TBF) methodology to multinomial regression models and discrete time-to-event models with competing risks. The TBF methodology has been well developed and implemented for the generalised linear model [Held et al. (2015) <doi:10.1214/14-STS510>] and for the Cox model [Held et al. (2016) <doi:10.1002/sim.7089>].

Version: 0.1.3
Depends: VGAM, nnet, parallel, stats, stringr, plotrix, methods
Suggests: knitr, splines
Published: 2018-10-12
DOI: 10.32614/CRAN.package.TBFmultinomial
Author: Rachel Heyard [aut, cre]
Maintainer: Rachel Heyard <rachel.heyard at uzh.ch>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: TBFmultinomial results

Documentation:

Reference manual: TBFmultinomial.pdf
Vignettes: TBFmultinomial

Downloads:

Package source: TBFmultinomial_0.1.3.tar.gz
Windows binaries: r-devel: TBFmultinomial_0.1.3.zip, r-release: TBFmultinomial_0.1.3.zip, r-oldrel: TBFmultinomial_0.1.3.zip
macOS binaries: r-release (arm64): TBFmultinomial_0.1.3.tgz, r-oldrel (arm64): TBFmultinomial_0.1.3.tgz, r-release (x86_64): TBFmultinomial_0.1.3.tgz, r-oldrel (x86_64): TBFmultinomial_0.1.3.tgz
Old sources: TBFmultinomial archive

Linking:

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These binaries (installable software) and packages are in development.
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