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Comparison · Analytics
broom.helpers vs r2dii.match
A side-by-side editorial comparison of broom.helpers and r2dii.match — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
broom.helpers vs r2dii.match: at a glance
What is broom.helpers?
The tidying engine under gtsummary keeps widening its model coverage while retiring its own selector layer.
broom.helpers standardises the output of regression models so downstream packages can render them, and its release notes are essentially a running list of newly supported model classes. Recent versions added quantreg, svyVGAM, VGAM, glmtoolbox and mmrm support alongside a steady stream of fixes for fixest and survey models. In parallel it has spent three releases dismantling its own selector helpers in favour of the cards package.
What is r2dii.match?
PACTA's loan-book matcher opened up to sector taxonomies other than its own.
r2dii.match links entries in a bank's loan book to companies in the asset-based company data, combining an optional exact join on a shared ID with fuzzy name matching. Since 0.3.0 the sector classification used for that matching is an explicit argument rather than a fixed default, letting institutions bring their own taxonomy. Recent releases have been documentation and messaging work under a new maintainer.
broom.helpers vs r2dii.match: editorial side-by-side
broom.helpers
0.0ANALYTICS
The tidying engine under gtsummary keeps widening its model coverage while retiring its own selector layer.
◆ Current state
broom.helpers standardises the output of regression models so downstream packages can render them, and its release notes are essentially a running list of newly supported model classes. Recent versions added quantreg, svyVGAM, VGAM, glmtoolbox and mmrm support alongside a steady stream of fixes for fixest and survey models. In parallel it has spent three releases dismantling its own selector helpers in favour of the cards package.
◆ Where it's heading
Two arcs run in parallel. The first is accretive: each release absorbs another modelling package, which is the natural job of a translation layer and shows no sign of slowing. The second is subtractive and now complete — the dot-prefixed selector functions were deprecated in 1.17.0, hard deprecated in 1.20.0, and removed in 1.22.0, alongside the deprecation of tidy_marginal_means() and tidy_margins() as their upstream packages moved or left CRAN. The package is consolidating on parameters and marginaleffects as its computational backends while shedding machinery that now belongs to gtsummary's ecosystem.
◆ Prediction
The next release will most likely add support for another model class and continue trimming tidiers whose upstream packages have been superseded, following the pattern of the last six.
r2dii.match
0.0ANALYTICS
PACTA's loan-book matcher opened up to sector taxonomies other than its own.
◆ Current state
r2dii.match links entries in a bank's loan book to companies in the asset-based company data, combining an optional exact join on a shared ID with fuzzy name matching. Since 0.3.0 the sector classification used for that matching is an explicit argument rather than a fixed default, letting institutions bring their own taxonomy. Recent releases have been documentation and messaging work under a new maintainer.
◆ Where it's heading
The package has spent its releases removing assumptions. The ald to abcd migration completed the move to the current data vocabulary, join_id gave users a way to bypass fuzzy matching where they already hold a reliable identifier, and sector_classification opened the taxonomy itself. Each of these hands control back to the user for a decision the package previously made. Activity has since shifted to hygiene — a data_dictionary describing every column, cli-based messaging, documentation edits — and the maintainer handover in 0.4.0 fits that pattern. The data_dictionary landed here two days after the same addition to r2dii.plot, so this is a family-wide convention rather than one package's idea.
◆ Prediction
With the API opened up and a new maintainer settling in, expect continued alignment work across the r2dii family rather than changes to the matching algorithm itself.
Alternatives to broom.helpers and r2dii.match
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 broom.helpers or r2dii.match.
secuTrialR
A Swiss clinical-trial data reader that surfaces once every couple of years to clear check notes.
flightsbr
Brazil's flight-data package keeps working around what ANAC publishes and when.
rolap
A star-schema modelling package grew a query language, a deployment path, and then a map layer.
kwb.db
A water-research lab's ODBC helper, still fighting Windows database drivers a decade in.
r2dii.plot
PACTA's climate-alignment charting layer split prep from plotting, then settled into stable.
See all broom.helpers alternatives → · See all r2dii.match alternatives →
Recent activity from broom.helpers and r2dii.match
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 11mo agobroom.helpersQuantile regression support lands as legacy selectors are removed
- 1y agor2dii.matchDocumentation edits and cli-based messaging
- 1y agobroom.helpersExperimental tidier for survey-weighted VGAM models
- 1y agobroom.helpersNew grouping controls for tidied model results
- 1y agor2dii.matchData dictionary added under a new maintainer
- 1y agobroom.helpersMarginal means tidier hard deprecated
- 1y agobroom.helpersInstrumental variable support for fixest models
- 1y agor2dii.matchr2dii.match 0.3.0 ⚡
- 1y agobroom.helpersbroom.helpers 1.17.0 ⚡
- 2y agor2dii.matchOptional exact join by ID before fuzzy matching
- 2y agor2dii.matchAlias handling fixed for unusual encodings
- 4y agor2dii.matchabcd argument supersedes ald in match_name()
Frequently asked questions
What is the difference between broom.helpers and r2dii.match?
Both compete on the same themes — r-package — within Analytics. broom.helpers and r2dii.match 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.
Is broom.helpers better than r2dii.match?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. broom.helpers and r2dii.match 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.
What are the best alternatives to broom.helpers?
Top broom.helpers alternatives in Analytics are ranked by recent ship velocity. Browse the "broom.helpers alternatives" section above for the current picks, or visit /alternatives/broom-helpers for the full list with editorial commentary on each.
What are the best alternatives to r2dii.match?
Top r2dii.match alternatives in Analytics are ranked by recent ship velocity. Browse the "r2dii.match alternatives" section above for the current picks, or visit /alternatives/r2dii-match for the full list with editorial commentary on each.