Running examples in ‘intamap-Ex.R’ failed
The error most likely occurred in:

> ### Name: plotIntamap
> ### Title: plot intamap objects
> ### Aliases: plotIntamap plot.default plot.copula plot.idw plot.automap
> ###   plot.linearVariogram plot.transGaussian plot.yamamoto
> ### Keywords: spatial
> 
> ### ** Examples
> 
> data(meuse)
> meuse$value = log(meuse$zinc)
> data(meuse.grid)
> coordinates(meuse) = ~x+y
> coordinates(meuse.grid) = ~x+y
> object = interpolate(meuse, meuse.grid, 
+                      outputWhat = list(mean = TRUE, variance = TRUE, 
+                      excprob = 7, excprob = 8, quantile = 0.9, quantile = 0.95),
+                      methodName = "automap")
R 2024-10-31 02:14:18.44085 interpolating 155 observations, 3103 prediction locations
Warning in predictTime(nObs = dim(observations)[1], nPred = nPred, formulaString = formulaString,  :
  
 using standard model for estimating time. For better 
 platform spesific predictions, please run 
 timeModels <- generateTimeModels()
  and save the workspace

 *** 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, outputWhat = list(mean = TRUE,     variance = TRUE, excprob = 7, excprob = 8, quantile = 0.9,     quantile = 0.95), methodName = "automap")
An irrecoverable exception occurred. R is aborting now ...