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 [aut, cre], Reinhard Furrer [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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