• using R Under development (unstable) (2025-03-13 r87955)
• using platform: x86_64-pc-linux-gnu
• R was compiled by     gcc (GCC) 14.2.1 20240912 (Red Hat 14.2.1-3)     GNU Fortran (GCC) 14.2.1 20240912 (Red Hat 14.2.1-3)
• running under: Fedora Linux 40 (Workstation Edition)
• using session charset: UTF-8
• using option ‘--no-stop-on-test-error’
• checking for file ‘geostatsp/DESCRIPTION’ ... OK
• checking extension type ... Package
• this is package ‘geostatsp’ version ‘2.0.8’
• checking package namespace information ... OK
• checking package dependencies ... INFO Package suggested but not available for checking: ‘RandomFields’
• checking if this is a source package ... OK
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• checking whether package ‘geostatsp’ can be installed ... [97s/415s] OK See the install log for details.
• used C compiler: ‘gcc (GCC) 14.2.1 20240912 (Red Hat 14.2.1-3)’
• checking package directory ... OK
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• checking DESCRIPTION meta-information ... OK
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• checking examples ... [0m/30m] 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
• checking for unstated dependencies in ‘tests’ ... OK
• checking tests ... [0m/90m] ERROR   Running ‘RFsimulate.R’ [60m/32m]   Running ‘krige.R’ [29s/31s]   Running ‘lgcp.R’ [99s/86s]   Running ‘lgm.R’ [70s/68s]   Running ‘lgmRaster.R’ [60m/36m]   Running ‘likfitLgm.R’ [28s/35s]   Running ‘matern.R’ [23s/25s]   Running ‘maternGmrfPrec.R’ [0m/19m]   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     0.498 0.007 0.529   >   >   > system.time({theNNadj = NNmat(N=myr, nearest=params['shape']+1, adjustEdges=TRUE)})      user system elapsed     0.232 0.016 0.251   > # and with the adjustment   > system.time({precMatCorr =maternGmrfPrec(N=theNNadj, param=params,   + adjustEdges=TRUE)})
• checking for unstated dependencies in vignettes ... OK
• checking package vignettes ... OK
• checking re-building of vignette outputs ... [537s/384s] OK
• checking PDF version of manual ... [10s/11s] OK
• checking HTML version of manual ... OK
• checking for non-standard things in the check directory ... OK
• checking for detritus in the temp directory ... OK
• DONE

Status: 2 ERRORs