spatialfusion: Multivariate Analysis of Spatial Data Using a Unifying Spatial Fusion Framework

Multivariate modelling of geostatistical (point), lattice (areal) and point pattern data in a unifying spatial fusion framework. Details are given in Wang and Furrer (2021) <doi:10.1016/j.csda.2021.107240>. Model inference is done using either 'Stan' <https://mc-stan.org/> or 'INLA' <https://www.r-inla.org/>.

Version: 0.6-4
Depends: R (≥ 3.4.0), Rcpp
Imports: methods, graphics, stats, utils, rstan, sp, SDraw, fields
Suggests: INLA, geoR, testthat, tmap, R.rsp
Published: 2021-10-05
Author: Craig Wang ORCID iD [aut, cre], Reinhard Furrer ORCID iD [ctb]
Maintainer: Craig Wang <craig.wang at math.uzh.ch>
License: GPL (≥ 3)
NeedsCompilation: no
Citation: spatialfusion citation info
Materials: NEWS
CRAN checks: spatialfusion results

Documentation:

Reference manual: spatialfusion.pdf
Vignettes: spatialfusion: short demo

Downloads:

Package source: spatialfusion_0.6-4.tar.gz
Windows binaries: r-devel: spatialfusion_0.6-4.zip, r-release: spatialfusion_0.6-4.zip, r-oldrel: spatialfusion_0.6-4.zip
macOS binaries: r-release (arm64): spatialfusion_0.6-4.tgz, r-release (x86_64): spatialfusion_0.6-4.tgz, r-oldrel: spatialfusion_0.6-4.tgz
Old sources: spatialfusion archive

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