rollupTree
The recursive-computation engine under massProps grows the accessors its consumer needed
A side-by-side editorial comparison of midr and rstudio.prefs — release velocity, themes, recent moves, and the top alternatives to consider.
A black-box interpreter reaches CRAN, then learns multi-class and survival responses
midr explains black-box models by fitting an interpretable surrogate through Maximum Interpretation Decomposition — main effects plus second-order interactions, with exact Shapley values for the surrogate. Two months after its first CRAN release it can take a matrix response, which covers multi-class classification and survival models, and hold collections of fitted interpretations in midlist and midrib objects for comparison.
Four years dormant, rstudio.prefs returns under a new maintainer.
The package scripts RStudio's own settings — preferences, secondary repositories, keyboard shortcuts — as code you can drop into a project or an onboarding doc. After 0.1.9 in July 2022 it went quiet for four years. 0.2.0 ends that with a maintainer handoff from Daniel D. Sjoberg to S.A. van der Wulp, a shortcut-removal path, and a fix for a corrupted addins.json entry that made reassigned shortcuts fail silently.
midr explains black-box models by fitting an interpretable surrogate through Maximum Interpretation Decomposition — main effects plus second-order interactions, with exact Shapley values for the surrogate. Two months after its first CRAN release it can take a matrix response, which covers multi-class classification and survival models, and hold collections of fitted interpretations in midlist and midrib objects for comparison.
The releases move outward along two axes at once: what can be interpreted, and how much of it fits in memory. Version 0.5.3 rebuilt the fitting path to avoid materialising large design matrices and added a save.memory option; 0.6.0 widened the response from a vector to a matrix and added parametric link functions. Class and argument names were shortened in the same release, so the package is still willing to break itself this early.
With multiple models now held in one object and visualisation methods for them, comparison across models is the surface most likely to fill out next — the collection classes exist but the notes describe manipulation and plotting rather than any comparison metric.
The package scripts RStudio's own settings — preferences, secondary repositories, keyboard shortcuts — as code you can drop into a project or an onboarding doc. After 0.1.9 in July 2022 it went quiet for four years. 0.2.0 ends that with a maintainer handoff from Daniel D. Sjoberg to S.A. van der Wulp, a shortcut-removal path, and a fix for a corrupted addins.json entry that made reassigned shortcuts fail silently.
The through-line is teaching every setter how to unset. Secondary repositories got NULL removal back in 0.1.6; 0.2.0 extends the same convention to keyboard shortcuts. Most of the rest of 0.2.0 is arrears — a stale documentation URL that hid preferences such as enable_splash_screen, a deprecated purrr::update_list() call, and check_shortcut_consistency() erroring early on an unknown name.
With a new maintainer and refreshed GitHub Actions, the near-term work is likely more catch-up of the same kind: remaining deprecated dependencies and the preference list that fetch_rstudio_prefs() reads from RStudio's docs. Nothing in these notes points past RStudio settings as the scope.
Other Infra & APIs products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either midr or rstudio.prefs.
The recursive-computation engine under massProps grows the accessors its consumer needed
A mass-properties rollup spends a year on documentation and follows its sibling's API
Six months of releases and not one of them touched the scoring models
A cognitive-science sampling package ships once, then goes quiet for eighteen months
A Bayesian volatility sampler in its maintenance decade, paying for its own speed
Spatial thinning grows a result object, and the API breaks to make room for it
See all midr alternatives → · See all rstudio.prefs alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. rstudio.prefs is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. rstudio.prefs is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
Top midr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "midr alternatives" section above for the current picks, or visit /alternatives/midr for the full list with editorial commentary on each.
Top rstudio.prefs alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "rstudio.prefs alternatives" section above for the current picks, or visit /alternatives/rstudio-prefs for the full list with editorial commentary on each.