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meta4diag: Meta-Analysis for Diagnostic Test Studies

Bayesian inference analysis for bivariate meta-analysis of diagnostic test studies using integrated nested Laplace approximation with INLA. A purpose built graphic user interface is available. The installation of R package INLA is compulsory for successful usage. The INLA package can be obtained from <https://www.r-inla.org>. We recommend the testing version, which can be downloaded by running: install.packages("INLA", repos=c(getOption("repos"), INLA="https://inla.r-inla-download.org/R/testing"), dep=TRUE).

Version: 2.1.1
Depends: R (≥ 2.10), sp, methods, grid, shiny, shinyBS, caTools
Suggests: INLA
Published: 2021-11-30
DOI: 10.32614/CRAN.package.meta4diag
Author: Jingyi Guo and Andrea Riebler
Maintainer: Jingyi Guo <jingyi.guo at ntnu.no>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
Additional_repositories: https://inla.r-inla-download.org/R/testing
Citation: meta4diag citation info
In views: MetaAnalysis
CRAN checks: meta4diag results

Documentation:

Reference manual: meta4diag.pdf

Downloads:

Package source: meta4diag_2.1.1.tar.gz
Windows binaries: r-devel: meta4diag_2.1.1.zip, r-release: meta4diag_2.1.1.zip, r-oldrel: meta4diag_2.1.1.zip
macOS binaries: r-release (arm64): meta4diag_2.1.1.tgz, r-oldrel (arm64): meta4diag_2.1.1.tgz, r-release (x86_64): meta4diag_2.1.1.tgz, r-oldrel (x86_64): meta4diag_2.1.1.tgz
Old sources: meta4diag archive

Linking:

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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.