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 |
Depends: | R (≥ 3.4.0), Rcpp |
Imports: | methods, graphics, stats, utils, rstan, sp, geoR, SDraw, fields |
Suggests: | INLA, testthat, tmap, R.rsp |
Published: | 2019-06-24 |
Author: | Craig Wang |
Maintainer: | Craig Wang <craig.wang at 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.tar.gz |
Windows binaries: | r-devel: spatialfusion_0.6.zip, r-release: spatialfusion_0.6.zip, r-oldrel: spatialfusion_0.6.zip |
OS X binaries: | r-release: spatialfusion_0.6.tgz, r-oldrel: spatialfusion_0.6.tgz |
Please use the canonical form https://CRAN.R-project.org/package=spatialfusion to link to this page.