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INLABMA: Bayesian Model Averaging with INLA

Fit Spatial Econometrics models using Bayesian model averaging on models fitted with INLA. The INLA package can be obtained from <https://www.r-inla.org>.

Version: 0.1-12
Depends: R (≥ 2.15.0), parallel, sp
Imports: Matrix, spdep, methods
Suggests: INLA
Published: 2023-11-18
Author: Virgilio Gómez-Rubio, Roger Bivand
Maintainer: Virgilio Gómez-Rubio <virgilio.gomez at uclm.es>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Additional_repositories: https://inla.r-inla-download.org/R/stable/
Citation: INLABMA citation info
CRAN checks: INLABMA results

Documentation:

Reference manual: INLABMA.pdf

Downloads:

Package source: INLABMA_0.1-12.tar.gz
Windows binaries: r-devel: INLABMA_0.1-12.zip, r-release: INLABMA_0.1-12.zip, r-oldrel: INLABMA_0.1-12.zip
macOS binaries: r-release (arm64): INLABMA_0.1-12.tgz, r-oldrel (arm64): INLABMA_0.1-12.tgz, r-release (x86_64): INLABMA_0.1-12.tgz, r-oldrel (x86_64): INLABMA_0.1-12.tgz
Old sources: INLABMA archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=INLABMA to link to this page.

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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