Parsnip
The parsnip package and six of its extension packages were recently updated on CRAN. One of the extensions is a new package for fitting multilevel statistical models.
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2022/03/24
We are working on extending support for survival analysis in tidymodels. We are looking for early adopters to try out the new package called censored and give feedback.
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2021/11/02
We highlight a series of new tidymodels package versions and their improvements.
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2021/07/27
Releases of tidymodels packages in Q2 of 2021 include more streamlined memory footprints for feature-engineering recipes, new model engine options, and better support for post-processing predictions.
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2021/07/02
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
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
Sparse data is common in many domains, and now tidymodels supports using sparse matrix structures throughout the fitting and tuning stages of modeling.
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2020/11/25
The new usemodels R package is a helpful way to automatically generate tidymodels code.
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2020/09/29
A new version of parsnip bring improvements in how predictors are handled and a few other neat features.
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2020/07/09
Three new tidymodels packages, baguette, poissonreg, and plsmod, were just released on CRAN.
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2020/04/15