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).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.1.1 |
rolling linux/jammy R-4.5 | meta4diag_2.1.1.tar.gz |
1.8 MiB |
2.1.1 |
rolling linux/noble R-4.5 | meta4diag_2.1.1.tar.gz |
1.8 MiB |
2.1.1 |
rolling source/ R- | meta4diag_2.1.1.tar.gz |
1.5 MiB |
2.1.1 |
latest linux/jammy R-4.5 | meta4diag_2.1.1.tar.gz |
1.8 MiB |
2.1.1 |
latest linux/noble R-4.5 | meta4diag_2.1.1.tar.gz |
1.8 MiB |
2.1.1 |
latest source/ R- | meta4diag_2.1.1.tar.gz |
1.5 MiB |
2.1.1 |
2026-04-26 source/ R- | meta4diag_2.1.1.tar.gz |
1.5 MiB |
2.1.1 |
2026-04-23 source/ R- | meta4diag_2.1.1.tar.gz |
1.5 MiB |
2.1.1 |
2026-04-09 windows/windows R-4.5 | meta4diag_2.1.1.zip |
1.8 MiB |
2.1.1 |
2025-04-20 source/ R- | meta4diag_2.1.1.tar.gz |
1.5 MiB |