Last updated on 2025-03-19 08:52:43 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 2.0.8 | 40.36 | 537.09 | 577.45 | OK | |
| r-devel-linux-x86_64-debian-gcc | 2.0.8 | 24.41 | 359.69 | 384.10 | OK | |
| r-devel-linux-x86_64-fedora-clang | 2.0.8 | 1055.71 | OK | |||
| r-devel-linux-x86_64-fedora-gcc | 2.0.8 | 1003.11 | ERROR | |||
| r-devel-macos-arm64 | 2.0.8 | 236.00 | OK | |||
| r-devel-macos-x86_64 | 2.0.8 | 634.00 | OK | |||
| r-devel-windows-x86_64 | 2.0.8 | 39.00 | 449.00 | 488.00 | OK | |
| r-patched-linux-x86_64 | 2.0.8 | 40.51 | 541.52 | 582.03 | OK | |
| r-release-linux-x86_64 | 2.0.8 | 36.77 | 532.64 | 569.41 | NOTE | |
| r-release-macos-arm64 | 2.0.8 | 272.00 | NOTE | |||
| r-release-macos-x86_64 | 2.0.8 | 716.00 | NOTE | |||
| r-release-windows-x86_64 | 2.0.8 | 40.00 | 455.00 | 495.00 | NOTE | |
| r-oldrel-macos-arm64 | 2.0.8 | 253.00 | NOTE | |||
| r-oldrel-macos-x86_64 | 2.0.8 | 775.00 | NOTE | |||
| r-oldrel-windows-x86_64 | 2.0.8 | 39.00 | 610.00 | 649.00 | NOTE |
Version: 2.0.8
Check: examples
Result: ERROR
Running examples in ‘geostatsp-Ex.R’ failed
The error most likely occurred in:
> ### Name: RFsimulate
> ### Title: Simulation of Random Fields
> ### Aliases: RFsimulate modelRandomFields RFsimulate RFsimulate-methods
> ### RFsimulate,ANY,SpatRaster-method RFsimulate,numeric,SpatRaster-method
> ### RFsimulate,numeric,SpatVector-method
> ### RFsimulate,RMmodel,SpatVector-method
> ### RFsimulate,RMmodel,SpatRaster-method
> ### RFsimulate,matrix,SpatRaster-method
> ### RFsimulate,matrix,SpatVector-method RFsimulate,data.frame,ANY-method
> ### Keywords: spatial
>
> ### ** Examples
>
> library('geostatsp')
>
> # exclude this line to use the RandomFields package
> options(useRandomFields = FALSE)
>
> model1 <- c(var=5, range=1,shape=0.5)
>
>
> myraster = rast(nrows=20,ncols=30,extent = ext(0,6,0,4),
+ crs="+proj=utm +zone=17 +datum=NAD27 +units=m +no_defs")
>
> set.seed(0)
>
> simu <- RFsimulate(model1, x=myraster, n=3)
install the RandomFields package for faster simulations
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 2.0.8
Check: tests
Result: ERROR
Running ‘RFsimulate.R’ [61m/33m]
Running ‘krige.R’ [24s/24s]
Running ‘lgcp.R’ [99s/79s]
Running ‘lgm.R’ [65s/64s]
Running ‘lgmRaster.R’ [60m/33m]
Running ‘likfitLgm.R’ [21s/20s]
Running ‘matern.R’ [16s/17s]
Running ‘maternGmrfPrec.R’ [0m/21m]
Running ‘profLlgm.R’
Running the tests in ‘tests/RFsimulate.R’ failed.
Complete output:
> library("geostatsp")
Loading required package: Matrix
Loading required package: terra
terra 1.8.29
>
> model <- c(var=5, range=20,shape=0.5)
>
> # any old crs
> theCrs = "+proj=utm +zone=17 +datum=NAD27 +units=m +no_defs"
>
> # don't test using the randomFields package, it's currently broken on some R builds
> options(useRandomFields = FALSE)
>
> myraster = rast(nrows=20,ncols=20,extent = ext(100,110,100,110),
+ crs=theCrs)
>
> set.seed(0)
> simu = RFsimulate(model = rbind(a=model, b=model+0.1),
+ x=myraster, n=4
+ )
Running the tests in ‘tests/lgmRaster.R’ failed.
Complete output:
> #+ setup
> library('geostatsp')
Loading required package: Matrix
Loading required package: terra
terra 1.8.29
> #'
>
> #' # simulated data
>
> # exclude this line to use the RandomFields package
> options(useRandomFields = FALSE)
>
> Ncell = 40
>
> myRaster = squareRaster(ext(0,6000,0,6000), Ncell)
>
> myParam=c(oneminusar=0.1, conditionalVariance=2.5^2,shape=2)
> myQ = maternGmrfPrec(myRaster, param=myParam)
> attributes(myQ)$info$optimalShape
shape variance range cellSize
4.092496 110.524266 900.000000 150.000000
> set.seed(0)
> mySim = RFsimulate(attributes(myQ)$info$optimalShape, myRaster)
install the RandomFields package for faster simulations
Running the tests in ‘tests/maternGmrfPrec.R’ failed.
Complete output:
> library('geostatsp')
Loading required package: Matrix
Loading required package: terra
terra 1.8.29
> matrix(NNmat(7, 7)[,25], 7, 7)
[,1] [,2] [,3] [,4] [,5] [,6] [,7]
[1,] 0 0 0 6 0 0 0
[2,] 0 0 5 4 5 0 0
[3,] 0 5 3 2 3 5 0
[4,] 6 4 2 1 2 4 6
[5,] 0 5 3 2 3 5 0
[6,] 0 0 5 4 5 0 0
[7,] 0 0 0 6 0 0 0
>
> myr = squareRaster(ext(0,600,0,300), 60)
> theNN = NNmat(myr)
>
>
> params=c(range = 6*xres(myr),
+ cellSize=xres(myr),
+ shape=2,
+ variance=1600)
>
>
> # precision matrix without adjusting for edge effects
> system.time({precMat = maternGmrfPrec(N=theNN, param=params,
+ adjustEdges=FALSE)})
user system elapsed
0.492 0.014 0.514
>
>
> system.time({theNNadj = NNmat(N=myr, nearest=params['shape']+1, adjustEdges=TRUE)})
user system elapsed
0.228 0.020 0.257
> # and with the adjustment
> system.time({precMatCorr =maternGmrfPrec(N=theNNadj, param=params,
+ adjustEdges=TRUE)})
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 2.0.8
Check: package dependencies
Result: NOTE
Package suggested but not available for checking: ‘RandomFields’
Package which this enhances but not available for checking: ‘INLA’
Flavors: r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64
Version: 2.0.8
Check: package dependencies
Result: NOTE
Package suggested but not available for checking: 'RandomFields'
Flavor: r-release-windows-x86_64