Alexander Fischer

Hi @rstub - this is already implemented =) I am only waiting for me to address a few changes for an ropensci review yet. Changing the Mammen weights as in...

Hi @kv9898 - some of this is a bug! Thanks for reporting =) If you try to run the heteroskedastic bootstrap via the R engine, it should throw an error...

Oh, that's super cool! Thanks for pointing me to it. I will move to `qtab()` with the next release. Thanks! =)

Yes, it indeed gives good speed up: ```r library(microbenchmark) N

Hi @tappek, thanks for raising this, adding a `plm` method is definitely on my to-do list! The reason for why `plm` is not yet supported is a) that I am...

Hi @tappek, I have started to investigate `plm` objects - I think that all methods supported by `plm::plm()` except for the random effects model (which I am not too familiar...

I have opened a development [branch ](https://github.com/s3alfisc/fwildclusterboot/tree/plm) for `plm` support. So far, it is quite 'barebone' - `boottest()` works with `plm()` and "pooling".

Hi @tappek - nice to hear that there are `plm` users with interest in `fwildclusterboot`! This is exactly the type of feedback I needed. I will get back to it...

The key part to support `plm` is to implement a [preprocess method ](https://github.com/s3alfisc/fwildclusterboot/blob/99a70e6bfff9fedb141875c632ea8debce3ff28d/R/preprocess2.R#L17) customized to `plm`. Browsing the code, I have just recalled that I have reorganized this part a...

I have opened a new branch and a [new pull request](https://github.com/s3alfisc/fwildclusterboot/pull/106). This is much less work than I had anticipated, so really, thanks for pinging me! =) I might actually...