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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 |
| Reference manual: | meta4diag.pdf |
| 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 |
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