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meta4diag

2.1.1Package record

Meta-Analysis for Diagnostic Test Studies

0packages depend
4.9Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

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).

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Jingyi Guo <jingyi.guo@ntnu.no>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Jingyi",
                      family = "Guo",
                      role = c("aut", "cre"),
                      email = "jingyi.guo@ntnu.no"),
               person(given = "Andrea",
                      family = "Riebler",
                      role = "aut",
                      email = "andrea.riebler@ntnu.no"))
as necessary.

CRAN check page ↗

Slowest check: 2.2 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE10 OK, 4 NOTE2026-03-10
Advisories

none known

Documentation

In release 2.1.1
READMENoVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Cites a JSS article
Help pages
21includes a package overview page
Examples that run
25%5 run in a plain check · 15 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
93%
Help pages citing references
57%

Also includes 1 demo script (run with demo())

Downloads

4.9K
CRAN downloads in the past year
Rank #8,025 · ~13/day · ~410/mo
Daily download trend is not available in this view yet.
38230 days
1.1K90 days
4.9K1 year
Compare downloads with other packages →
Also on98 r2u7 autocran161 c2d4u

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing meta4diag adds 34 packages (22 with compiled code, 30 MB of source tarballs). Heaviest: bslib 5.6 MB, sp 4.3 MB, promises 3.1 MB.

Depends (7)
R >= 2.10spmethodsgridshinyshinyBScaTools
Imports (0)
none
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (from the free-text Author field) (2)

Maintainer since 1.0.19 (2015)

Releases (10)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 2.1.1Latest
    record
    2021-11-30 · current release · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 2.0.8
    record
    2018-07-23 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 2.0.7
    record
    2018-02-16 · diff ↗
  • 2.0.6
    record
    2017-11-02 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 2.0.5
    record
    2016-07-06 · diff ↗ ·
    added 2 exports
    funnel, funnel.meta4diag
  • 2.0.4
    record
    2016-07-03 · diff ↗
Show 6 earlier eventsHide 6 earlier events
  • 2.0.3
    record
    2016-06-30 · diff ↗ ·
    added 2 exports
    AUC, AUC.meta4diag
  • 2.0.2
    record
    2016-06-23 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
  • 1.0.20
    record
    2015-08-25 · diff ↗
  • 1.0.19
    record
    2015-08-23
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2015-08-23
Total releases
10 / 11 yrs
License
GPL
Additional repositories
inla.r-inla-download.org
Minimum R
≥ 2.10
Bundled data
868 KB / 5 files
Download size
1.5 MB
Appears in task views

Cite

Cite this package

Run in R for the authors' entry:

citation("meta4diag")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.18637/jss.v083.i01.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for meta4diag version 2.1.1 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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