Package: INLABMA 0.1-12

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>.

Authors:Virgilio Gómez-Rubio <[email protected]>, Roger Bivand <[email protected]>

INLABMA_0.1-12.tar.gz
INLABMA_0.1-12.zip(r-4.7)INLABMA_0.1-12.zip(r-4.6)INLABMA_0.1-12.zip(r-4.5)
INLABMA_0.1-12.tgz(r-4.6-any)INLABMA_0.1-12.tgz(r-4.5-any)
INLABMA_0.1-12.tar.gz(r-4.7-any)INLABMA_0.1-12.tar.gz(r-4.6-any)
INLABMA_0.1-12.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
INLABMA/json (API)

# Install 'INLABMA' in R:
install.packages('INLABMA', repos = c('https://becarioprecario.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/becarioprecario/inlabma/issues

On CRAN:

Conda:

2.65 score 1 stars 45 scripts 263 downloads 11 exports 19 dependencies

Last updated from:09400bd742. Checks:7 ERROR, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64ERROR127
source / vignettesOK200
linux-release-x86_64ERROR129
macos-release-arm64ERROR124
macos-oldrel-arm64ERROR137
windows-develERROR80
windows-releaseERROR72
windows-oldrelERROR64
wasm-releaseOK146

Exports:BMArhoINLABMAINLAMHleroux.inlalogprrhomysplinefunrescalemargsac.inlasdm.inlasem.inlaslm.inla

Dependencies:bootclassclassIntDBIdeldire1071KernSmoothlatticeMASSMatrixproxyRcpps2sfspspDataspdepunitswk