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nmaINLA: Network Meta-Analysis using Integrated Nested Laplace Approximations

Performs network meta-analysis using integrated nested Laplace approximations ('INLA') which is described in Guenhan, Held, and Friede (2018) <doi:10.1002/jrsm.1285>. Includes methods to assess the heterogeneity and inconsistency in the network. Contains more than ten different network meta-analysis dataset. 'INLA' package can be obtained from <https://www.r-inla.org>.

Version: 1.1.0
Depends: R (≥ 2.10)
Suggests: INLA, knitr, testthat
Published: 2021-07-21
Author: Burak Kuersad Guenhan ORCID iD [aut, cre]
Maintainer: Burak Kuersad Guenhan <burakgunhan at gmail.com>
BugReports: https://github.com/gunhanb/nmaINLA/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/gunhanb/nmaINLA
NeedsCompilation: no
Additional_repositories: https://inla.r-inla-download.org/R/stable/
Citation: nmaINLA citation info
In views: MetaAnalysis
CRAN checks: nmaINLA results

Documentation:

Reference manual: nmaINLA.pdf
Vignettes: NMA-INLA

Downloads:

Package source: nmaINLA_1.1.0.tar.gz
Windows binaries: r-devel: nmaINLA_1.1.0.zip, r-release: nmaINLA_1.1.0.zip, r-oldrel: nmaINLA_1.1.0.zip
macOS binaries: r-release (arm64): nmaINLA_1.1.0.tgz, r-oldrel (arm64): nmaINLA_1.1.0.tgz, r-release (x86_64): nmaINLA_1.1.0.tgz, r-oldrel (x86_64): nmaINLA_1.1.0.tgz
Old sources: nmaINLA 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.
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