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

> ### Name: impute_missing
> ### Title: Missing values imputation wrapper
> ### Aliases: impute_missing
> 
> ### ** Examples
> 
> library("smartdata")
> data(africa, package = "Amelia")
> data(nhanes, package = "mice")
> data(ozone,  package = "missMDA")
> data(vnf,    package = "missMDA")
> data(orange, package = "missMDA")
> data(sleep,  package = "VIM")
> 
> super_nhanes <- impute_missing(nhanes, "gibbs_sampling")
> super_nhanes <- impute_missing(nhanes, "gibbs_sampling", exclude = "chl")
> # Use a different method for every column
> impute_methods <- c("pmm", "midastouch", "norm_nob", "norm_boot")
> super_nhanes <- impute_missing(nhanes, "gibbs_sampling", imputation = impute_methods)
> super_nhanes <- impute_missing(nhanes, "central_imputation")
> super_africa <- impute_missing(africa, "knn_imputation")
> # Execute knn imputation with non default value for k
> super_africa <- impute_missing(africa, "knn_imputation", k = 5)
> super_africa <- impute_missing(africa, "expect_maximization", exclude = "country")
> super_africa <- impute_missing(africa, "rf_imputation", num_iterations = 15,
+                                num_trees = 200, bootstrap = FALSE)
  missForest iteration 1 in progress...done!
  missForest iteration 2 in progress...done!
  missForest iteration 3 in progress...done!
  missForest iteration 4 in progress...done!
  missForest iteration 5 in progress...done!
> # Examples of calls to 'PCA imputation' with wholly numeric datasets
> super_orange <- impute_missing(orange, "PCA_imputation", num_dimensions = 5,
+                                imputation = "Regularized", random_init = TRUE)
Warning in impute(X, ncp = ncp, scale = scale, method = method, threshold = threshold,  :
  Stopped after  1000  iterations
> # Examples of calls to 'MCA imputation' with wholly categorical datasets
> super_vnf    <- impute_missing(vnf, "MCA_imputation", num_dimensions = 5,
+                                imputation = "Regularized", random_init = TRUE)
> # Examples of calls to 'FAMD imputation' with hybrid datasets
> super_ozone  <- impute_missing(ozone, "FAMD_imputation", num_dimensions = 5,
+                                imputation = "Regularized", random_init = TRUE)
> 
> # Examples of hotdeck, iterative robust and reggresion imputations
> super_sleep <- impute_missing(sleep, "hotdeck")
> super_sleep <- impute_missing(sleep, "iterative_robust", initialization = "median",
+                               num_iterations = 1000)
> super_sleep <- impute_missing(sleep, "regression_imputation",
+                               formula = Dream+NonD~BodyWgt+BrainWgt)
> 
> # Examples of adaptative shrinkage imputation
> super_ozone <- impute_missing(ozone, "ATN", sigma = 2.2)
Error in dyn.load(file, DLLpath = DLLpath, ...) : 
  unable to load shared object '/Volumes/SSD-Data/Builds/R-dev-web/QA/Simon/packages/el-capitan-x86_64/Rlib/3.4/irlba/libs/irlba.so':
  `maximal number of DLLs reached...
Calls: impute_missing ... tryCatch -> tryCatchList -> tryCatchOne -> <Anonymous>
Execution halted