Posts
The tidymodels ecosystem is modular and flexible, which can sometimes make choosing an approach overwhelming for newcomers. This post offers opinionated guidance on where to start!
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2021/05/24
This version provides much improved
labelled_spss() support, improved date-time handling, the latest ReadStat, and a bunch of other small improvements.
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2021/04/24
The new version of recipes contains several helpful improvements.
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2021/04/23
reprex is now much easier to use on RStudio Server and RStudio Cloud.
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2021/04/05
Introducing, clock, a new package for working with date-times.
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2021/03/31
A new package for evaluating many models at once is now on CRAN, along with a corresponding update to the tidyposterior package.
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2021/03/30
Releases of tidymodels packages in Q1 of 2021 offer new functions for easier model building and resampling, along with a new package for resampling spatial data.
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2021/03/10
The latest version of rvest brings new tools for extracting text, a radically improved
html_table(), and a bunch of interface changes to better align rvest with the rest of the tidyverse.
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2021/03/10
We’ve recently released a bunch of improvements to dplyr backends. multidplyr, which allows you to spread work across multiple cores, is now on CRAN. dtplyr adds translations for dplyr 1.0.0 and fixes many bugs. dbplyr 2.1.0 adds translations for many tidyr verbs, gains an author, and has improved
across() translations.
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2021/02/25
The lifecycle package documentation received a major overhaul based on what I learned preparing for my rstudio::global keynote.
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2021/02/15