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.tar.gz(r-4.4-noble)
INLABMA_0.1-12.tgz(r-4.4-emscripten)INLABMA_0.1-12.tgz(r-4.3-emscripten)
INLABMA.pdf |INLABMA.html✨
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:

11 exports 1 stars 0.75 score 20 dependencies 37 scripts 333 downloads

Last updated 10 months agofrom:09400bd742. Checks:OK: 1. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 13 2024

Exports:BMArho INLABMA INLAMH leroux.inla logprrho mysplinefun rescalemarg sac.inla sdm.inla sem.inla slm.inla

Dependencies:boot class classInt DBI deldir e1071 KernSmooth lattice magrittr MASS Matrix proxy Rcpp s2 sf sp spData spdep units wk

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Compute BMA of 'fitted.values' from a list of INLA objects	BMArho
Fit posterior marginal distributions to points	fitmarg
Compute marginals using Bayesian Model Averaging	fitlistBMA fitmargBMA fitmargBMA2 fitmatrixBMA
Perform complete Bayesian Model Averaging on some Spatial Econometrics models	INLABMA
Perform INLA with MCMC.	INLAMH
Fit Leroux et al's spatial model.	leroux.inla
Log-prior density for the spatial autocorrelation parameter 'rho'	logprrho
Compute spline function	mysplinefun
Recompute the impact summaries from the marginals	recompute.impacts
Re-scale marginal distribution to compute the distribution of w*x	rescalemarg
Fit spatial econometrics models with INLA	sac.inla sdm.inla sem.inla slm.inla
Compute trace of (I-rho*W)^{-1} matrix	trIrhoWinv