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spatialfusion
View on CRAN: Click
here
Download and install spatialfusion package within the R console
Install from CRAN:
install.packages("spatialfusion")
Install from Github:
library("remotes")
install_github("cran/spatialfusion") Install by package version:
library("remotes")
install_version("spatialfusion", "0.7-2") Attach the package and use:
library("spatialfusion")
Maintained by
Craig Wang
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-06-24
Latest Update:
Description:
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) . Model inference is done using either 'Stan' or 'INLA' .
How to cite:
Craig Wang (2019). spatialfusion: Multivariate Analysis of Spatial Data Using a Unifying Spatial Fusion Framework. R package version 0.7-2, https://cran.r-project.org/web/packages/spatialfusion. Accessed 26 Oct. 2026.
Previous versions and publish date:
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Other R packages that spatialfusion depends,
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Complete documentation for spatialfusion
Functions, R codes and Examples using
the spatialfusion R package
Some associated functions: domain . fitted . fusion.dinla . fusion.dstan . fusion . fusionData . fusionSimulate . geodata . latticedata . plot . ppdata . predict . spatialfusion-package . summary .
Some associated R codes: fusion.R . fusionData.R . fusionFit.R . fusionINLA.R . fusionPlot.R . fusionPred.R . fusionSimulate.R . fusionStan.R . fusionSummary.R . help.R . print.R . voronoiPolygons.R . zzz.R . Full spatialfusion package functions and examples
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