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

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: mbo
> ### Title: Optimizes a function with sequential model based optimization.
> ### Aliases: mbo
> 
> ### ** Examples
> 
> # simple 2d objective function
> obj.fun = makeSingleObjectiveFunction(
+  fn = function(x) x[1]^2 + sin(x[2]),
+  par.set = makeNumericParamSet(id = "x", lower = -1, upper = 1, len = 2)
+ )
> 
> # create base control object
> ctrl = makeMBOControl()
> 
> # do three MBO iterations
> ctrl = setMBOControlTermination(ctrl, iters = 3L)
> 
> # use 500 points in the focussearch (should be sufficient for 2d)
> ctrl = setMBOControlInfill(ctrl, opt.focussearch.points = 500)
> # create initial design
> des = generateDesign(n = 5L, getParamSet(obj.fun), fun = lhs::maximinLHS)
> 
> # start mbo
> res = mbo(obj.fun, design = des, control = ctrl)
Computing y column(s) for design. Not provided.
[mbo] 0: x=0.0607,-0.15 : y = -0.146 : 0.0 secs : initdesign
[mbo] 0: x=-0.893,0.354 : y = 1.14 : 0.0 secs : initdesign
[mbo] 0: x=0.605,-0.847 : y = -0.383 : 0.0 secs : initdesign
[mbo] 0: x=0.548,0.736 : y = 0.972 : 0.0 secs : initdesign
[mbo] 0: x=-0.407,-0.36 : y = -0.187 : 0.0 secs : initdesign
Loading required package: rgenoud
##  rgenoud (Version 5.7-12.4, Build Date: 2015-07-19)
##  See http://sekhon.berkeley.edu/rgenoud for additional documentation.
##  Please cite software as:
##   Walter Mebane, Jr. and Jasjeet S. Sekhon. 2011.
##   ``Genetic Optimization Using Derivatives: The rgenoud package for R.''
##   Journal of Statistical Software, 42(11): 1-26. 
##


optimisation start
------------------
* estimation method   : MLE 
* optimisation method : gen 
* analytical gradient : used
* trend model : ~1
* covariance model : 
  - type :  matern3_2 
  - nugget : 5.160733e-09 
  - parameters lower bounds :  1e-10 1e-10 
  - parameters upper bounds :  2.996936 3.166369 
  - variance bounds :  0.05160733 5.578142 
  - best initial criterion value(s) :  -4.048811 
Error in do.call(rgenoud::genoud, genoudArgs) : 'args' must be a list
Calls: mbo ... trainLearner.regr.km -> do.call -> <Anonymous> -> f -> do.call
Execution halted