Multivariate modelling of geostatistical (point), lattice (areal) and point pattern data in a unifying spatial fusion framework. Details are given in Wang and Furrer (2019) <arXiv:1906.00364>. Model inference is done using either 'Stan' <https://mc-stan.org/> or 'INLA' <http://www.r-inla.org>.
Version: | 0.6-2 |
Depends: | R (≥ 3.4.0), Rcpp |
Imports: | methods, graphics, stats, utils, rstan, sp, SDraw, fields |
Suggests: | INLA, geoR, testthat, tmap, R.rsp |
Published: | 2020-04-09 |
Author: | Craig Wang |
Maintainer: | Craig Wang <craig.wang at math.uzh.ch> |
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_0.6-2.tar.gz |
Windows binaries: | r-devel: spatialfusion_0.6-2.zip, r-release: spatialfusion_0.6-2.zip, r-oldrel: spatialfusion_0.6-2.zip |
macOS binaries: | r-release: spatialfusion_0.6-2.tgz, r-oldrel: spatialfusion_0.6-2.tgz |
Old sources: | spatialfusion archive |
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