Ensemble Models (stacks), Yihui Xie, and Significance Magazine

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Great work deserves to be shared. Especially in data science.
Each week, I'll curate three gems from the data science community:

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🗄️ Re: Remarkable Repository
💻 P:   Prolific Programmer
🏢 O:  Outstanding Organization

I hope you find them as valuable and insightful as I do.
You can find all recommendations in the GitHub repository at finnoh/repo!

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🗄️ Repository | Tidy Ensemble Models

This R package for the estimation of Ensemble Models provides a “grammar” for estimating separate models and combining them into an ensemble model. As with other packages from the tidymodels collection, the focus is on easy handling and clean code. Of course, it ties in with the other packages of this family, such as rsample, parsnip, workflows, recipes, and tune.

For an introduction to how the stacks package works, see the documentation!

💻 Programmer | The driver behind Quarto, R Markdown, Bookdown, …

Yihui Xie is a software engineer and one of the core contributors to the R universe. The programmer’s contributions include

• blogdown: create blogs and websites with R Markdown

• bookdown: author books and technical documents with R Markdown

• knitr: Dynamic report generation with R

• tinytex: a lightweight LaTeX distribution based on TeX Live

• Quarto: an open-source scientific and technical publishing system

among others (see about page).

You might have noticed that two of these packages, knitr, and tinytex, are something like the core for the typical R-related technical writing frameworks such as R Markdown and Quarto.

You can find a great collection of posts on Yihui Xie’s blog, a great article to start is An Interview of Me by JP and Sarah.

🏢 Organization | How and why statistics helps in life

The Royal Statistical Society (RSS), American Statistical Association (ASA), and Statistical Society of Australia back the Significance Magazine, which shines a spotlight on a wide array of practical applications of statistics.

A first read I recommend is Rugby World Cup 2023: Were the predictions right?, where the Significance Magazine analyses the predictions of the Rugby Vision collection of models.

If you like Significance Magazine, check out another online blog by the RSS and ASA, Real World Data Science.

In fact, why not write your own post for the blog? In collaboration with Brian Tarran, the former editor of Significance Magazine, I have built a post template that makes it easy to write for and submit to Real World Data Science. Find it here.

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