Package: ssifs 1.0.2

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) <arxiv:2211.07258>.

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

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ssifs.pdf |ssifs.html
ssifs/json (API)
NEWS

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

Peer review:

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

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:

consistencymetaanalysisnetworknmassifsssvsvariable-selection

4.00 score 2 stars 2 scripts 250 downloads 2 exports 73 dependencies

Last updated 1 years agofrom:289bd4530d. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 09 2024
R-4.5-winOKOct 09 2024
R-4.5-linuxOKOct 09 2024
R-4.4-winOKOct 09 2024
R-4.4-macOKOct 09 2024
R-4.3-winOKOct 09 2024
R-4.3-macOKOct 09 2024

Exports:spike.slabssifs

Dependencies:abindbitbit64bootclicliprcodacolorspaceCompQuadFormcpp11crayondplyrfansifarvergenericsggplot2gluegtablegtoolshmsigraphisobandlabelinglatticelifecyclelme4magicmagrittrMASSmathjaxrMatrixmetametadatmetaformgcvminqamunsellnetmetanlmenloptrnumDerivpbapplypillarpkgconfigplyrprettyunitsprogresspurrrR2jagsR2WinBUGSR6rbibutilsRColorBrewerRcppRcppEigenRdpackreadrRevEcoRrjagsrlangscalesstringistringrtibbletidyselecttzdbutf8vctrsviridisLitevroomwithrXMLxml2

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

Rendered fromAn_introduction_to_ssifs.Rmdusingknitr::rmarkdownon Oct 09 2024.

Last update: 2023-04-10
Started: 2022-06-10