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spatialfusion  

Multivariate Analysis of Spatial Data Using a Unifying Spatial Fusion Framework
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", "0.6-6")



Attach the package and use:
library("spatialfusion")
Maintained by
Craig Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-02-09
Latest Update: 2023-10-16
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 (2020). spatialfusion: Multivariate Analysis of Spatial Data Using a Unifying Spatial Fusion Framework. R package version 0.6-6, https://cran.r-project.org/web/packages/spatialfusion
Previous versions and publish date:
0.6-1 (2020-02-09 20:20), 0.6-2 (2020-04-09 16:20), 0.6-3 (2021-06-27 16:50), 0.6-4 (2021-10-05 10:10), 0.6-5 (2022-01-25 13:20), 0.6-6 (2022-08-22 23:30), 0.6 (2019-06-24 20:51)
Other packages that cited spatialfusion R package
View spatialfusion citation profile
Other R packages that spatialfusion depends, imports, suggests or enhances
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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