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Fast Wild Cluster Bootstrap Inference for Regression Models / OLS in R. Additionally, R port to WildBootTests.jl via the JuliaConnectoR.

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It can happen that the difference in the confidence intervals is larger than the `0.005` you are expecting: ``` r library(fwildclusterboot) set.seed(123123) dqrng::dqRNGkind("Xoroshiro128+") dqrng::dqset.seed(123123) data1 It will no longer be...

Sorry @s3alfisc that this has taken a while, but here would be my minor TODO tasks to finalise your standards compliance: --- You've documented the following with `srrstats` tags, but...

- for performance improvements

Dependencies have gotten a little bloated. - [ ] drop dependency on `gtools` - just add a copy of `permutations` - [ ] drop dependency on RcppArma, if possible -...

enhancement

Hi fwildclusterboot team! I'm trying to replicate Eckhouse ([2021](https://doi.org/10.1111/ajps.12661)) with the fwildclusterboot package. I've attached the relevant code and data. However, with the default "R" engine, it fails to generate...

documentation

- add support for [etwfe](https://github.com/grantmcdermott/etwfe/issues/10)

- support objects of type `etwfe` via `boot_aggregate()`

enhancement

- Currently, CIs are only computed via `engine = R` and `bootstrap_type = "fnw11"` or `engine = "WildBootTests.jl"`. - Support CIs for R and `bootstrap_type %in% c("11", "31")`.

enhancement