I feel seen!

I use =

Sarcasm, but actually something brought up by one of the deans, that having statisticians around is *less* important in the age of AI because AI can just do experimental design and data analysis for researchers. No joke. #sendhelp

+100

I don't understand this need to overclaim.

I they want to create a new pkg doing stg already existing: sure no problem, since variety is good.

But falsely claiming that the original pkg is bad.... really incorrect.
And it's typical alas...

Important note for Mac users: make sure your installation properly exploits `fixest` multi-threading capabilities:

1. Follow @coatless.bsky.social's simple shell script and OpenMP instructions here: github.com/coatless-she...

2. Install from source: `install.packages("fixest", type = "source")`

Among the new features:
- new builtin VCOV: HC2 aand HC3 (thanks to Kyle Butts!)
- new function sparse_model_matrix
- improved internal algorithms
- coefplot/iplot become similar to etable
- batched estimations are easier to make

& many many more, check out the news file!
github.com/lrberge/fixe...

Yep, this is not native.
I had to develop my own VSCode extension to make it work.

For the first use, there is predict.mira that does not seem to exist, so it can be created no problem.

For the second usage, it seems that MI is done to the predict method of a non-MI estimation.
=> I don't see the issue of creating a new function here bc the use case is very specific

In general masking any base R (including stats, utils, etc) function is a bad idea bc other packages rely on them and expect them to work in a very specific way.

I don't think what you want is possible because of the way S3 works.
Maybe change the design? It might be the easiest way.

It's in beta though but I'm actively developing it. Comments welcome!

BTW to install:
remotes::install_github("https://github.com/lrberge/rmake")

Hey, I'm new developing a package to make reproductibility easy.

It's rmake!

Contrary to {targets}, you don't need to set up anything, it is all automatic!

So you can have modular code while writing in a single script!!!

github.com/lrberge/rmake

OK, thanks for your answer.

You even comment your gitignore :-), nice! (I never do that, but I should!)

This fool's actions may, in the end, just favor the renewable energy sector (due to the change in relative prices).

I love the irony!

Sorry for all those questions, thanks for sharing!

Did you like the quarto workflow (vàv other ways to create such websites)? Did you cut dev time by using it?

Very nice looking btw, well done!

Haha, thanks Grant! But TBH I don't know how soon that will be!

There are a few productivity bonuses at the end of the presentation (which was fully written in typst btw), in particular:

- a new way to handle reproductibility in R
- a new R console (!)

Although both projects are in active dev, they work:

github.com/lrberge/rmake

github.com/lrberge/sircon