TidyDensity
A distribution catalogue that grows by one family at a time, and rarely breaks anything.
A side-by-side editorial comparison of abclass and crossmap — release velocity, themes, recent moves, and the top alternatives to consider.
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.
crossmap's roadmap is set by purrr and furrr — it deprecates what upstream deprecates.
A small package for mapping over combinations of arguments, following purrr and furrr conventions. Its own functional additions stopped after xpluck() in 2023 and the cross_fit() clustering work in 2022. Everything since tracks upstream: xmap_raw() and future_xmap_raw() are now defunct because purrr removed map_raw() and furrr removed future_pmap_raw(), and re-exported parallel helpers now come from parallelly rather than future.
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.
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.
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.
A small package for mapping over combinations of arguments, following purrr and furrr conventions. Its own functional additions stopped after xpluck() in 2023 and the cross_fit() clustering work in 2022. Everything since tracks upstream: xmap_raw() and future_xmap_raw() are now defunct because purrr removed map_raw() and furrr removed future_pmap_raw(), and re-exported parallel helpers now come from parallelly rather than future.
The package has settled into being a compatible extension rather than an independent one — its release notes read as a mirror of purrr's and furrr's deprecation schedules. Note that the release stamps are unreliable here: several versions were backfilled minutes apart and the 0.3.x tags carry timestamps in reverse version order, so feed position says nothing about what shipped when.
Expect the next release to be driven by another purrr or furrr change rather than new functionality, since that has been the sole trigger for the last four.
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 crossmap.
A distribution catalogue that grows by one family at a time, and rarely breaks anything.
College football's open data client hit v2 — and now reports how many API calls you have left.
The USA phenology data client rebuilt its entire stack and stopped handing users -9999 as a number.
GeneNMF rebuilt how it derives meta-programs, changing every result it had produced.
Publication-ready psychology tables and plots, tracking APA style as closely as the software allows.
A spatial-statistics utility package exists to be depended on, and is built accordingly.
See all abclass alternatives → · See all crossmap alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r package — within Analytics. abclass and crossmap are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). 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. abclass and crossmap are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
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.
Top crossmap alternatives in Analytics are ranked by recent ship velocity. Browse the "crossmap alternatives" section above for the current picks, or visit /alternatives/crossmap for the full list with editorial commentary on each.