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' <> or 'INLA' <>.

Version: 0.6-6
Depends: R (≥ 3.4.0), Rcpp
Imports: methods, graphics, stats, utils, rstan, sp, fields, rgeos, spam, deldir
Suggests: INLA, testthat, tmap, R.rsp
Published: 2022-08-22
Author: Craig Wang ORCID iD [aut, cre], Reinhard Furrer ORCID iD [ctb]
Maintainer: Craig Wang <craigwang247 at>
License: GPL (≥ 3)
NeedsCompilation: no
Citation: spatialfusion citation info
Materials: NEWS
CRAN checks: spatialfusion results


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


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


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