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

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: Smooth.locmincon
> ### Title: Smooth a Locally Fitted Cluster or Cox Point Process Model
> ### Aliases: Smooth.locmincon
> ### Keywords: spatial methods smooth
> 
> ### ** Examples
> 
>    fit <- locmincon(redwood)
Fitting template model...Done.
sigma =  0.327735256144733 
Estimating intensity by kernel smoothing.
Computing local statistics for 62 points...1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40,
41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61,  62.
Done.
Fitting 62 models...
1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40,
41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61,  62.
Done.
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Warning in mean.default((marx - yhat)^2) :
  argument is not numeric or logical: returning NA
Error in if (warn && (iopt == nh || iopt == 1)) warning(paste("Cross-validation criterion was minimised at",  : 
  missing value where TRUE/FALSE needed
Calls: locmincon ... resolve.2D.kernel -> do.call.matched -> do.call -> <Anonymous>
Execution halted