* using log directory ‘/data/gannet/ripley/R/packages/tests-devel/intamapInteractive.Rcheck’
* using R Under development (unstable) (2025-02-15 r87726)
* 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 ‘intamapInteractive/DESCRIPTION’ ... OK
* this is package ‘intamapInteractive’ version ‘1.2-6’
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for executable files ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘intamapInteractive’ can be installed ... [35s/93s] OK
See 'https://www.r-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/intamapInteractive-00install.html' for details.
* checking package directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking code files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... [8s/20s] OK
* checking whether the package can be loaded with stated dependencies ... [9s/26s] OK
* checking whether the package can be unloaded cleanly ... [9s/22s] OK
* checking whether the namespace can be loaded with stated dependencies ... [8s/21s] OK
* checking whether the namespace can be unloaded cleanly ... [8s/22s] OK
* checking loading without being on the library search path ... [8s/23s] OK
* checking use of S3 registration ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... [54s/146s] OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd line widths ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking examples ... [12s/33s] OK
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ... [39m/44m] ERROR
  Running ‘anisotropyChoice.R’ [10s/25s]
  Running ‘biasCorr.R’ [10s/26s]
  Running ‘findLocalBias.R’ [9s/23s]
  Running ‘findRegionalBias.R’ [10s/28s]
  Running ‘optimizingTest.R’ [39m/43m]
Running the tests in ‘tests/optimizingTest.R’ failed.
Complete output:
  > options(error = recover)
  > #test = TRUE
  > test = FALSE
  > mantest = FALSE
  > set.seed(1)
  > library(intamapInteractive)
  Loading required package: intamap
  Loading required package: sp
  > library(gstat)
  > #require(maptools)
  > # for SIC2004 dataset
  > data(sic2004)
  > coordinates(sic.val) = ~x+y
  > observations = sic.val["dayx"] 
  > coordinates(sic.grid)=~x+y
  > predGrid = sic.grid
  > 
  > #Finding the polygon for the candidate locations
  > bb = bbox(predGrid)
  > boun = SpatialPoints(data.frame(x=c(bb[1,1],bb[1,2],bb[1,2],bb[1,1],bb[1,1]),
  +                                 y=c(bb[2,1],bb[2,1],bb[2,2],bb[2,2],bb[2,1])))
  > Srl = Polygons(list(Polygon(boun)),ID = as.character(1))
  > candidates = SpatialPolygonsDataFrame(SpatialPolygons(list(Srl)),
  +                                       data = data.frame(ID=1))
  > 
  > # Limits the number of prediction locations to have faster UK 
  > # computations
  > nGrid = dim(coordinates(predGrid))[1]
  > predGrid = predGrid[sample(seq(1,nGrid),1000),]
  > # Fits the variogram model (using function fit.variogram from package
  > # gstat)
  > model = fit.variogram(variogram(dayx~x+y, sic.val), vgm(50, "Sph", 250000, 250))
  > #plot(variogram(dayx~x+y, sic.val), model=model)
  > # Computes the Mukv of the current network
  > initMukv <- calculateMukv(observations, predGrid, model, formulaString = dayx~x+y)
* checking PDF version of manual ... 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: 1 ERROR