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abclass vs moderndive

A side-by-side editorial comparison of abclass and moderndive — release velocity, themes, recent moves, and the top alternatives to consider.

abclass vs moderndive: at a glance

Featureabclassmoderndive
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesclassification, regularization, large-margin classifiers, cran maintenancestatistics-education, webr, regression, r-package
Last editorial update53m ago4h ago
WebsiteVisit →Visit →

What is abclass?

abclass built out angle-based classifiers in 2022, then went quiet except for CRAN upkeep.

An implementation of multi-category angle-based large-margin classifiers with regularization. The capability was assembled in four releases across 2022: group lasso, then group SCAD and MCP penalties, then sparse matrix input, cross-validation via cv.abclass(), an efficient tuning path in et.abclass(), and experimental sup-norm classifiers. After a three-year gap, 0.5.0 simplified how group penalties are specified and 0.5.1 swapped the quadratic programming backend after qpmadr was archived on CRAN.

Read the full abclass trajectory →

What is moderndive?

The ModernDive teaching package learns to render inside the browser that runs its own textbook

moderndive supplies the datasets, regression helpers and ggplot geoms used by the ModernDive introductory statistics textbook. Its release history is mostly dataset accumulation — much of it contributed by students in batches — punctuated by occasional function work. The latest release is different: it fixes View() so it renders inside webR, the in-browser R that powers the book's live exercises, and reworks the regression helpers to survive in-formula transformations.

Read the full moderndive trajectory →

abclass vs moderndive: editorial side-by-side

A
abclass
ANALYTICS
0.0

abclass built out angle-based classifiers in 2022, then went quiet except for CRAN upkeep.

◆ Current state

An implementation of multi-category angle-based large-margin classifiers with regularization. The capability was assembled in four releases across 2022: group lasso, then group SCAD and MCP penalties, then sparse matrix input, cross-validation via cv.abclass(), an efficient tuning path in et.abclass(), and experimental sup-norm classifiers. After a three-year gap, 0.5.0 simplified how group penalties are specified and 0.5.1 swapped the quadratic programming backend after qpmadr was archived on CRAN.

◆ Where it's heading

The methods surface is complete and the package has moved into maintenance, where releases are triggered by the R ecosystem rather than by research. The one structural habit worth noting is a willingness to change defaults — alpha, epsilon, lum_c and now the cross-validation alignment have all shifted between versions, so results are not stable across upgrades unless arguments are set explicitly.

◆ Prediction

Expect further releases to track CRAN dependency changes, as 0.5.1 did within a day of qpmadr's archival; nothing in the entries points to new penalty families.

M
moderndive
ANALYTICS
2.5

The ModernDive teaching package learns to render inside the browser that runs its own textbook

◆ Current state

moderndive supplies the datasets, regression helpers and ggplot geoms used by the ModernDive introductory statistics textbook. Its release history is mostly dataset accumulation — much of it contributed by students in batches — punctuated by occasional function work. The latest release is different: it fixes View() so it renders inside webR, the in-browser R that powers the book's live exercises, and reworks the regression helpers to survive in-formula transformations.

◆ Where it's heading

The package is following the textbook's second edition into the browser. webR has no pandoc, so the DT htmlwidget path the package relied on cannot produce the self-contained HTML the notebook cell needs, and the auto-print path was gated behind interactive() being false — meaning students working through the live exercises saw an explanatory message where a table should have been. Building a static HTML table and pushing it through webR's viewer hook is a small change with a direct effect on whether the book's interactive mode works at all.

◆ Prediction

With the book's v2 datasets landed and the browser rendering path fixed, the remaining friction is most likely in other functions that assume a desktop R session.

Alternatives to abclass and moderndive

Other Analytics 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 abclass or moderndive.

See all abclass alternatives → · See all moderndive alternatives →

Recent activity from abclass and moderndive

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 12d agomoderndiveView() renders in webR; regression helpers survive formula transforms
  2. 7mo agoabclassQuadratic programming backend swapped after CRAN archival
  3. 10mo agoabclassGroup penalty specification simplified
  4. 1y agomoderndiveDatasets and tidy_summary() for the second edition
  5. 2y agomoderndiveAlmond and flight datasets for the inference chapters
  6. 3y agoabclassSparse input, cross-validation and efficient tuning added
  7. 4y agoabclassGroup SCAD and MCP penalties added
  8. 4y agomoderndiveTen student-curated teaching datasets
  9. 4y agoabclassGroup lasso regularization and correctness fixes
  10. 4y agoabclassFirst release of the angle-based classifiers
  11. 4y agomoderndiveAlaska flights subset added
  12. 5y agomoderndiveCleaner regression tables and an explicit conf.level argument

Frequently asked questions

What is the difference between abclass and moderndive?

They serve adjacent needs but don't currently overlap on shipped themes. moderndive 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.

Is abclass better than moderndive?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. moderndive 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 Analytics products to evaluate alongside.

What are the best alternatives to abclass?

Top abclass alternatives in Analytics are ranked by recent ship velocity. Browse the "abclass alternatives" section above for the current picks, or visit /alternatives/abclass for the full list with editorial commentary on each.

What are the best alternatives to moderndive?

Top moderndive alternatives in Analytics are ranked by recent ship velocity. Browse the "moderndive alternatives" section above for the current picks, or visit /alternatives/moderndive for the full list with editorial commentary on each.