Comments (8)
Hi @s3alfisc, so this one is basically adding another two lines (linearmodels and fastreg) in our performance benchmarking line plots right?
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Certainly @s3alfisc , you can allocate this to me 👍
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Will send it in a moment :)
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@rafimikail would you be interested in picking this up?
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Yes, exactly! Maybe best to start with one of the two packages and divide this into two PRs? Is it ok if I assign you @rafimikail?
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Hi @s3alfisc , wanted to confirm, to run_benchmarks.ipynb, i think i need to retrieve some data first that will be used in the notebook, do i need to run data_generation.r first before running the notebook or i could just get it from https://github.com/lrberge/fixest/tree/master/_BENCHMARK?
Thanks!
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Oh I completely overlooked this - you would have to run the data generation r script first. I can also do so quickly and send you the data as a csv?
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Hey @s3alfisc , i tried to run the data generation r file but experiencing an error, need to find out why
But if you have the data/csv already, that would be helpful
Thanks
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Related Issues (20)
- Inference: Support `fixef_k = "nested"` for small sample correction in `ssc()` for identical standard errors with `fixest` HOT 1
- Wildboottest: Incorrect Initiation of R vector -> incorrect results
- Contributing Documentation does not show full code blocks HOT 2
- Contributing Documentation Formatting Issue
- Extract covariance matrix from regression object HOT 8
- F-test in pyfixest HOT 9
- narwhals = Pandas + polars + ... HOT 5
- Helping demean() Fail Gracefully - Add a'fixef_iter' argument to feols() and fepois() HOT 1
- Examples Layout Docs HOT 3
- Feiv : More diagnostic tests on the first stage regression need to be added HOT 2
- Add note on `wald_test` method to `quickstart` (or even a new notebook)? HOT 2
- Add "lean" argument to `feols()` and `fepois()` HOT 4
- Publish `pyfixest` on conda
- Add `solver` argument to `feols()`, `fepois()` APIs HOT 5
- Support for weights as an optional parameter for did2s? HOT 4
- Add default IV Diagnostics to `pf.summary()` and `pf.etable()` HOT 1
- installing via pip broken by stargazer HOT 4
- Adding Standard Error of Prediction HOT 6
- BUG: coefplot() and iplot() show only point estimates, no confidence intervals HOT 1
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