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

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: evalRec
> ### Title: Evaluates the requested recommendation algorithm.
> ### Aliases: evalRec evalRec,evalModel-method evalRec,evalModel,list-method
> 
> ### ** Examples
> 
>   x <- matrix(sample(c(0:5), size = 200, replace = TRUE, 
+         prob = c(.6,.8,.8,.8,.8,.8)), nrow = 20, byrow = TRUE)
>   
>   x <- defineData(x)
There are values smaller that the defined threshold. If you want to keep using them please redefine the "minimum" argument.
>         
>   e <- evalModel(x, 2)
>   
>   SVDEvaluation <- evalRec(e, "FunkSVD", positiveThreshold = 4, k = 4) 
Evaluating top- 3  recommendation with  FunkSVD .
Features trained. Time: 0.0002365112 seconds. 

Fold: 1 / 2  elapsed. Time: 0.05020547 

Features trained. Time: 0.0002717972 seconds. 

Fold: 2 / 2  elapsed. Time: 0.03189373 

>   
>   SVDEvaluation         
Algorithm:  FunkSVD 
Configuration: 
  k learningRate regCoef biases
1 4        0.001   0.001  FALSE

        precision    recall    ex.time
1-fold  0.2833333 0.4633333 0.05005383
2-fold  0.3166667 0.5666667 0.03174019
Average 0.3000000 0.5150000 0.04089701
>   
>   
>   IBEvaluation <- evalRec(e, "IBKNN", simFunct = "cos", positiveThreshold = 4, neigh = 5)
Evaluating top- 3  recommendation with  IBKNN .
Neighborhood calculated in:  0.000541687 seconds.

 *** caught segfault ***
address 0x55db06758ec8, cause 'memory not mapped'

Traceback:
 1: .Call("_rrecsys_predictIB", PACKAGE = "rrecsys", data, s, simIndexKNN,     simil, neigh, maximum, minimum, ItMeans, clamp)
 2: predictIB(data@data, as.matrix(s), model@sim_index_kNN, model@sim,     model@neigh, data@maximum, data@minimum, ItMeans, clamp)
 3: .local(model, ...)
 4: predict(model, Round = FALSE, clamp = FALSE)
 5: predict(model, Round = FALSE, clamp = FALSE)
 6: recommendHPR(r, topN)
 7: .local(model, ...)
 8: evalRec(e, "IBKNN", simFunct = "cos", positiveThreshold = 4,     neigh = 5)
 9: evalRec(e, "IBKNN", simFunct = "cos", positiveThreshold = 4,     neigh = 5)
An irrecoverable exception occurred. R is aborting now ...
Segmentation fault