Running ‘anisotropyTest.R’ [24s/87s]
  Running ‘block.R’ [8s/28s]
  Running ‘idw.R’ [10s/41s]
  Running ‘interpolate.R’ [6s/26s]
  Running ‘interpolateBlock.R’ [5s/27s]
  Running ‘javaR.R’ [6s/25s]
  Running ‘linearVariogram.R’ [6s/21s]
  Running ‘minimal.R’ [5s/19s]
  Running ‘transGaussian.R’ [5s/21s]
  Running ‘unbiased.R’ [8s/30s]
Running the tests in ‘tests/interpolate.R’ failed.
Complete output:
  > options(error = recover)
  > set.seed(15331)
  > library(intamap)
  Loading required package: sp
  > library(automap)
  > library(gstat)
  > library(psgp)
  > #loadMeuse()
  > 
  > sessionInfo()
  R Under development (unstable) (2024-11-07 r87302)
  Platform: x86_64-pc-linux-gnu
  Running under: Fedora Linux 36 (Workstation Edition)
  
  Matrix products: default
  BLAS:   /data/gannet/ripley/R/R-devel/lib/libRblas.so 
  LAPACK: /usr/lib64/liblapack.so.3.10.1
  
  locale:
   [1] LC_CTYPE=en_GB.utf8        LC_NUMERIC=C              
   [3] LC_TIME=en_GB.UTF-8        LC_COLLATE=C              
   [5] LC_MONETARY=en_GB.UTF-8    LC_MESSAGES=en_GB.UTF-8   
   [7] LC_PAPER=en_GB.UTF-8       LC_NAME=C                 
   [9] LC_ADDRESS=C               LC_TELEPHONE=C            
  [11] LC_MEASUREMENT=en_GB.UTF-8 LC_IDENTIFICATION=C       
  
  time zone: Europe/London
  tzcode source: system (glibc)
  
  attached base packages:
  [1] stats     graphics  grDevices utils     datasets  methods   base     
  
  other attached packages:
  [1] psgp_0.3-21    gstat_2.1-2    automap_1.1-12 intamap_1.5-7  sp_2.1-4      
  
  loaded via a namespace (and not attached):
   [1] utf8_1.2.4         generics_0.1.3     class_7.3-22       KernSmooth_2.23-24
   [5] lattice_0.22-6     magrittr_2.0.3     grid_4.5.0         iterators_1.0.14  
   [9] mvtnorm_1.3-2      foreach_1.5.2      doParallel_1.0.17  plyr_1.8.9        
  [13] e1071_1.7-16       reshape_0.8.9      DBI_1.2.3          fansi_1.0.6       
  [17] scales_1.3.0       codetools_0.2-20   abind_1.4-8        cli_3.6.3         
  [21] rlang_1.1.4        units_0.8-5        munsell_0.5.1      intervals_0.15.5  
  [25] FNN_1.1.4.1        tools_4.5.0        parallel_4.5.0     dplyr_1.1.4       
  [29] colorspace_2.1-1   ggplot2_3.5.1      spacetime_1.3-2    vctrs_0.6.5       
  [33] MBA_0.1-2          R6_2.5.1           zoo_1.8-12         proxy_0.4-27      
  [37] lifecycle_1.0.4    classInt_0.4-10    MASS_7.3-61        pkgconfig_2.0.3   
  [41] pillar_1.9.0       gtable_0.3.6       glue_1.8.0         Rcpp_1.0.13-1     
  [45] sf_1.0-19          tibble_3.2.1       tidyselect_1.2.1   xts_0.14.1        
  [49] compiler_4.5.0     evd_2.3-7.1        stars_0.6-7       
  > 
  > 
  > crs = CRS("epsg:28992")
  > data("meuse")
  > coordinates(meuse) <- ~x+y
  > proj4string(meuse) <- crs
  > data("meuse.grid")
  > coordinates(meuse.grid) <- ~x+y
  > gridded(meuse.grid) <- TRUE
  > proj4string(meuse.grid) <- crs
  > 
  > meuse$value = log(meuse$zinc)
  > meuse.grid = meuse.grid[sample(1:dim(meuse.grid)[1], 100),]
  > output = interpolate(meuse, meuse.grid, list(mean=T, variance=T, nsim = 5), methodName = "automap")
  R 2024-11-07 23:32:21.220987 interpolating 155 observations, 100 prediction locations
  
   *** caught segfault ***
  address 0x1, cause 'memory not mapped'
  
  Traceback:
   1: predLoess(object$y, object$x, newx = if (is.null(newdata)) object$x else if (is.data.frame(newdata)) as.matrix(model.frame(delete.response(terms(object)),     newdata, na.action = na.action)) else as.matrix(newdata),     object$s, object$weights, object$robust, op$span, op$degree,     op$normalize, op$parametric, op$drop.square, op$surface,     op$cell, op$family, object$kd, object$divisor, se = se)
   2: predict.loess(eModels, data.frame(nObs = nObs), se = TRUE)
   3: predict(eModels, data.frame(nObs = nObs), se = TRUE)
   4: predictTime(nObs = dim(observations)[1], nPred = nPred, formulaString = formulaString,     class = methodName, outputWhat = outputWhat, FUN = "spatialPredict")
   5: interpolate(meuse, meuse.grid, list(mean = T, variance = T, nsim = 5),     methodName = "automap")
  An irrecoverable exception occurred. R is aborting now ...
Running the tests in ‘tests/interpolateBlock.R’ failed.
Complete output:
  > library(intamap)
  Loading required package: sp
  > data(meuse)
  > coordinates(meuse) = ~x+y
  > data(meuse.grid)
  > coordinates(meuse.grid) = ~x+y
  > set.seed(13531)
  > 
  > predictionLocations = spsample(meuse,50,"regular")
  > gridded(predictionLocations) = TRUE
  > cs = predictionLocations@grid@cellsize[1]/2
  > meuse$value = log(meuse$zinc)
  > 
  > outputWhat = list(mean=TRUE,variance=TRUE,quantile=0.025,quantile=0.0975)
  > res1 = interpolateBlock(meuse,predictionLocations,outputWhat,methodName = "automap")$outputTable
  R 2024-11-07 23:32:49.12432 interpolating 155 observations, 48 prediction locations
  
   *** caught segfault ***
  address 0x1, cause 'memory not mapped'
  
  Traceback:
   1: predLoess(object$y, object$x, newx = if (is.null(newdata)) object$x else if (is.data.frame(newdata)) as.matrix(model.frame(delete.response(terms(object)),     newdata, na.action = na.action)) else as.matrix(newdata),     object$s, object$weights, object$robust, op$span, op$degree,     op$normalize, op$parametric, op$drop.square, op$surface,     op$cell, op$family, object$kd, object$divisor, se = se)
   2: predict.loess(eModels, data.frame(nObs = nObs), se = TRUE)
   3: predict(eModels, data.frame(nObs = nObs), se = TRUE)
   4: predictTime(nObs = nObs, nPred = nPred, formulaString = formulaString,     class = methodName, outputWhat = outputWhat, FUN = "spatialPredict")
   5: interpolateBlock(meuse, predictionLocations, outputWhat, methodName = "automap")
  An irrecoverable exception occurred. R is aborting now ...
Running the tests in ‘tests/transGaussian.R’ failed.
Complete output:
  > set.seed(15331)
  > library(intamap)
  Loading required package: sp
  > data(meuse)
  > data(meuse.grid)
  > coordinates(meuse) = ~x+y
  > coordinates(meuse.grid) = ~x+y
  > 
  > meuse$value=meuse$zinc
  > output = interpolate(meuse, meuse.grid, list(mean=T, variance=T),methodName = "transGaussian")
  R 2024-11-07 23:34:14.614683 interpolating 155 observations, 3103 prediction locations
  
   *** caught segfault ***
  address 0x1, cause 'memory not mapped'
  
  Traceback:
   1: predLoess(object$y, object$x, newx = if (is.null(newdata)) object$x else if (is.data.frame(newdata)) as.matrix(model.frame(delete.response(terms(object)),     newdata, na.action = na.action)) else as.matrix(newdata),     object$s, object$weights, object$robust, op$span, op$degree,     op$normalize, op$parametric, op$drop.square, op$surface,     op$cell, op$family, object$kd, object$divisor, se = se)
   2: predict.loess(eModels, data.frame(nObs = nObs), se = TRUE)
   3: predict(eModels, data.frame(nObs = nObs), se = TRUE)
   4: predictTime(nObs = dim(observations)[1], nPred = nPred, formulaString = formulaString,     class = methodName, outputWhat = outputWhat, FUN = "spatialPredict")
   5: interpolate(meuse, meuse.grid, list(mean = T, variance = T),     methodName = "transGaussian")
  An irrecoverable exception occurred. R is aborting now ...