Mitchell O'Hara-Wild
Mitchell O'Hara-Wild
Implementation of this partly depends on #25, due to the problem being encapsulation of different distribution types. `dim()` exists to identify the appropriate dimension of the distribution, but is unused...
Thanks for the bug report and reproducible issue, I'm able to reproduce this.
Thanks for bring this to my attention, I do suspect that this is due to the RNG handling in parallel - however if you `set.seed` inside your functions that should...
No problem, we can work on fixing the changes together in this PR. I've fixed the first issue with the S3 dispatch conflict (I'm not sure why this is an...
Thanks @brookslogan for the thorough investigation and clear description of the problem. Would you be interested in submitting a PR for the improved documentation?
Yes, I have been wanting to do this. If you'd like to make a PR for this, I'd gladly accept it.
I think the first option here should error, since the dimensions of `at` do not match the dimension of the distribution. What do you think? The intended vectorisation is described...
For me it's a question of if that default mapping of dimensions is appropriate, and I'm leaning toward being strict and not having a default dimension for univariate inputs ->...