CLUSTER MODELING-PACKAGE-STATISTICAL · 3 ENTRIES · EARLIEST ENTRY 2020-03-08
R recipe step packages
This cluster consists of R packages that extend the 'recipes' framework with additional steps for data preprocessing and feature engineering, including categorical encoding and handling imbalanced datasets. The dated history is too thin to read a shape from, as only three dated entries exist before the index start. Traction leaders, based on activity signal, are r-recipes, r-themis, and r-embed, each at zero stars.
Entry timeline
ENTRY TIMELINE
Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.
Members by activity
Activity signals, not revenue.
Build origin · 3 unlabelled
Operator · 3 open source
Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 3 listed below. Unlabelled means nothing has decided yet — not that the answer is small.
- 01r-recipes0★1 moliveopen sourceR package offering predefined steps for data preprocessing and feature engineering in statistical modeling.
- 02r-themis0★2 moliveopen sourceR package adding recipe steps for handling imbalanced datasets in statistical modeling.
- 03r-embed0★7 mostaleliveopen sourceR package providing extra recipe steps for encoding categorical predictors in statistical modeling workflows.
Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.