Bootstrapping a large dataset is relatively slow. Compare the bootstrap execution time in the CTDS example with that of a similar analysis of the DistWin duiker example dataset -- the latter is very much faster.
There are likely overheads involved in setting up and executing the bootstrap in the R code (which is in mrds) that could be optimized to make it faster -- although this possibly will come at the cost of generality/robustness.
I'm marking this as a low priority enhancement -- something possibly to look at in the future.
More potentially useful information is in issue 168.
Bootstrapping a large dataset is relatively slow. Compare the bootstrap execution time in the CTDS example with that of a similar analysis of the DistWin duiker example dataset -- the latter is very much faster.
There are likely overheads involved in setting up and executing the bootstrap in the
Rcode (which is inmrds) that could be optimized to make it faster -- although this possibly will come at the cost of generality/robustness.I'm marking this as a low priority enhancement -- something possibly to look at in the future.
More potentially useful information is in issue 168.