Harry Scholes
Harry Scholes
Thanks! Yes, I suppose it might be easier if we define separate methods that operate on a vector of multiple distributions. I was trying to come up with an implementation...
Ahh I see, no problem about the misunderstanding. So the new method that would implement the boostrapping from multiple distributions would be something like: ```julia function bootstrap(statistic::Function, data::Tuple, sampling::BasicSampling) t0...
I think this is exactly how I implemented it in the commit on this PR. You're right that it does avoid code duplication. But it will require a bit of...
Yes, I think it would be a great feature to include! I'll have a look into it at the JuliaCon hackathon
I just ran into `ind2sub not defined`. Possibly because all of my data was in one cluster.
Bump. Any updates on these changes?
Having one method, with `n = 0` as a default argument doesn't feel like a very Julian solution to me. I think having multiple methods for the approx and exact...
Cool. I've unified the docstrings now
Hi @wildart just wondering if you'd seen the single `PermutationTest` docstring I made?
I hear you on the test result structure being the same for the exact and approximate permutation tests. My point is more that `ExactPermutationTest` looks like a constructor, but it...