ssifs: Stochastic Search Inconsistency Factor Selection

Evaluating the consistency assumption of Network Meta-Analysis both globally and locally in the Bayesian framework. Inconsistencies are located by applying Bayesian variable selection to the inconsistency factors. The implementation of the method is described by Seitidis et al. (2022) <doi:10.48550/arXiv.2211.07258>.

Version: 1.0.2
Depends: R (≥ 2.10)
Imports: ggplot2 (≥ 3.3.6), gtools (≥, igraph (≥ 1.3.1), netmeta (≥ 2.6.0), plyr (≥ 1.8.7), R2jags (≥ 0.7.1), RevEcoR (≥ 0.99.3), utils (≥ 4.2.0), Rdpack (≥ 2.3)
Suggests: knitr, rmarkdown
Published: 2023-05-12
DOI: 10.32614/CRAN.package.ssifs
Author: Georgios Seitidis ORCID iD [aut, cre], Stavros Nikolakopoulos ORCID iD [aut], Ioannis Ntzoufras ORCID iD [aut], Dimitris Mavridis ORCID iD [aut]
Maintainer: Georgios Seitidis <g.seitidis at>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
In views: MetaAnalysis
CRAN checks: ssifs results


Reference manual: ssifs.pdf
Vignettes: An introduction to the Stochastic Search Variable Selection method using the ssifs package


Package source: ssifs_1.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ssifs_1.0.2.tgz, r-oldrel (arm64): ssifs_1.0.2.tgz, r-release (x86_64): ssifs_1.0.2.tgz, r-oldrel (x86_64): ssifs_1.0.2.tgz
Old sources: ssifs archive


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