Package: ssifs 1.0.5

Georgios Seitidis

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. (2023) <doi:10.1002/sim.9891>.

Authors:Georgios Seitidis [aut, cre], Stavros Nikolakopoulos [aut], Ioannis Ntzoufras [aut], Dimitris Mavridis [aut]

ssifs_1.0.5.tar.gz
ssifs_1.0.5.tar.gz(r-4.7-any)ssifs_1.0.5.tar.gz(r-4.6-any)
ssifs_1.0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
ssifs/json (API)
NEWS

# Install 'ssifs' in R:
install.packages('ssifs', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/georgiosseitidis/ssifs/issues

Pkgdown/docs site:https://georgiosseitidis.github.io

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3
Datasets:
  • Alcohol - Stochastic Search Inconsistency Factor Selection of brief alcohol interventions.
  • smokingcessation - Stochastic Search Inconsistency Factor Selection of interventions for smoking cessation

On CRAN:

Conda:

jagscpp

2.70 score 5 scripts 229 downloads 2 exports 75 dependencies

Last updated from:93a573e6cf. Checks:4 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK179
source / vignettesOK237
linux-release-x86_64OK177
wasm-releaseOK120

Exports:spike.slabssifs

Dependencies:abindbitbit64bootclicliprcodacolorspaceCompQuadFormcpp11crayondigestdplyrfarvergenericsggplot2ggrepelgluegtablegtoolshmsigraphisobandlabelinglatticelifecyclelme4magicmagrittrMASSmathjaxrMatrixmetametabookmetadatmetaforminqamvtnormnetmetanlmenloptrnumDerivpbapplypillarpkgconfigplyrprettyunitsprogresspurrrR2jagsR2WinBUGSR6rbibutilsRColorBrewerRcppRcppEigenRdpackreadrreformulasrjagsrlangS7scalesstringistringrtibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithrxml2

An introduction to the Stochastic Search Inconsistency Factor Selection method using the ssifs package

Rendered fromAn_introduction_to_ssifs.Rmdusingknitr::rmarkdownon Jun 19 2026.

Last update: 2025-06-24
Started: 2023-05-05