The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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 (≥ 3.9.2.1), 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 uoi.gr>
BugReports: https://github.com/georgiosseitidis/ssifs/issues
License: GPL (≥ 3)
URL: https://github.com/georgiosseitidis/ssifs, https://georgiosseitidis.github.io/ssifs/
NeedsCompilation: no
Materials: README NEWS
In views: MetaAnalysis
CRAN checks: ssifs results

Documentation:

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

Downloads:

Package source: ssifs_1.0.2.tar.gz
Windows binaries: r-devel: ssifs_1.0.2.zip, r-release: ssifs_1.0.2.zip, r-oldrel: ssifs_1.0.2.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ssifs to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.