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R2BayesX: Estimate Structured Additive Regression Models with 'BayesX'

An R interface to estimate structured additive regression (STAR) models with 'BayesX'.

Version: 1.1-5
Depends: R (≥ 2.13.0), BayesXsrc, colorspace, mgcv
Imports: methods
Suggests: interp, coda, maps, MBA, parallel, sf, shapefiles, sp, spdep, splines, spData, fields
Published: 2023-10-20
DOI: 10.32614/CRAN.package.R2BayesX
Author: Nikolaus Umlauf ORCID iD [aut, cre], Thomas Kneib [aut], Stefan Lang [aut], Achim Zeileis ORCID iD [aut]
Maintainer: Nikolaus Umlauf <Nikolaus.Umlauf at uibk.ac.at>
License: GPL-2 | GPL-3
NeedsCompilation: yes
Citation: R2BayesX citation info
In views: MixedModels
CRAN checks: R2BayesX results

Documentation:

Reference manual: R2BayesX.pdf

Downloads:

Package source: R2BayesX_1.1-5.tar.gz
Windows binaries: r-devel: R2BayesX_1.1-5.zip, r-release: R2BayesX_1.1-5.zip, r-oldrel: R2BayesX_1.1-5.zip
macOS binaries: r-release (arm64): R2BayesX_1.1-5.tgz, r-oldrel (arm64): R2BayesX_1.1-5.tgz, r-release (x86_64): R2BayesX_1.1-5.tgz, r-oldrel (x86_64): R2BayesX_1.1-5.tgz
Old sources: R2BayesX archive

Reverse dependencies:

Reverse suggests: BayesXsrc, gamboostLSS

Linking:

Please use the canonical form https://CRAN.R-project.org/package=R2BayesX 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.