rnaturalearth
rnaturalearth finished its sp exit and is now optimising how the data actually arrives.
Comparison · Analytics
broom vs modelbased
A side-by-side editorial comparison of broom and modelbased — release velocity, themes, recent moves, and the top alternatives to consider.
broom vs modelbased: at a glance
What is broom?
broom's release calendar is now set by CRAN checks, not by new tidiers.
broom converts model objects from across R's statistical ecosystem into tidy data frames. Four of its last six releases exist purely to resolve R CMD check warnings and errors on r-devel or to absorb upstream package changes. Maintainership passed to Emil Hvitfeldt at 1.0.11.
What is modelbased?
modelbased is turning marginal effects into a full contrast grammar
modelbased computes marginal means, contrasts, and slopes from fitted models, and it ships every one to two months with a consistent shape: new comparison types, broader model support, and steady renaming toward clearer vocabulary. The recent arc runs from marginal effects inequality measures through inequality ratios to an omnibus global test and a post_process argument for multi-step comparisons. Argument names have been settled along the way, with trend becoming slope and an alias left behind.
broom vs modelbased: editorial side-by-side
broom
0.0ANALYTICS
broom's release calendar is now set by CRAN checks, not by new tidiers.
◆ Current state
broom converts model objects from across R's statistical ecosystem into tidy data frames. Four of its last six releases exist purely to resolve R CMD check warnings and errors on r-devel or to absorb upstream package changes. Maintainership passed to Emil Hvitfeldt at 1.0.11.
◆ Where it's heading
Carrying hundreds of tidier methods for model classes it does not own, broom's workload is dominated by other projects' breaking changes and CRAN's evolving checks. New tidier coverage has largely migrated to the packages that define the models, leaving broom as a compatibility surface.
◆ Prediction
Expect the cadence to stay reactive, with releases triggered by r-devel check failures and upstream API shifts rather than expanded model coverage.
modelbased
0.0ANALYTICS
modelbased is turning marginal effects into a full contrast grammar
◆ Current state
modelbased computes marginal means, contrasts, and slopes from fitted models, and it ships every one to two months with a consistent shape: new comparison types, broader model support, and steady renaming toward clearer vocabulary. The recent arc runs from marginal effects inequality measures through inequality ratios to an omnibus global test and a post_process argument for multi-step comparisons. Argument names have been settled along the way, with trend becoming slope and an alias left behind.
◆ Where it's heading
The package is building a compositional vocabulary rather than a fixed menu — contrasts of average slopes, contrasts across two numeric predictors, inequality summaries across all outcome categories, and now user-supplied post-processing of comparisons. Support quietly widens underneath, covering nestedLogit, brms finite mixtures, and offsets under population and average estimation. Plotting gets attention in proportion to how often these results are presented rather than tabulated, including collapse_by_group() for showing averaged raw data under mixed-model fits.
◆ Prediction
With post_process and omnibus tests both landed, the likely next step is making these composed comparisons easier to report — formatting or plotting methods for the multi-step results rather than new comparison types.
Alternatives to broom and modelbased
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 or modelbased.
writexl
writexl spent nine years refusing to do formatting, then shipped all of it in 2.0.0.
rgbif
rgbif is steadily pushing users off paged searching and onto real downloads.
rstanarm
rstanarm is community-maintained now, tracking Stan and lme4 rather than adding models.
taxa
taxa started a ground-up rewrite in 2021 and has published almost nothing since.
rotl
rotl's whole release history is keeping name matching honest against a moving taxonomy.
See all broom alternatives → · See all modelbased alternatives →
Recent activity from broom and modelbased
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agomodelbasedmodelbased 0.16.0 adds post-processing and omnibus contrast tests
- 3mo agobroombroom 1.0.13 relocates a test fixture to clear an r-devel warning
- 3mo agobroombroom 1.0.12 tracks renamed summary() output fields
- 3mo agomodelbasedmodelbased 0.15.0 contrasts average slopes across numeric predictors
- 5mo agomodelbasedmodelbased 0.14.0 renames trend to slope and adds collapse_by_group()
- 8mo agomodelbasedmodelbased 0.13.1 adds marginal group-level estimates and as.data.frame()
- 8mo agobroombroom 1.0.11 transfers maintainership to Emil Hvitfeldt
- 11mo agobroombroom 1.0.10 clears an r-devel namespacing warning
- 11mo agomodelbasedmodelbased 0.13.0 adds inequality ratios and slope marginalization
- 1y agobroombroom 1.0.9 requires R 4.1 and repairs epiR compatibility
- 1y agomodelbasedmodelbased 0.12.0 introduces marginal effects inequality measures
- 1y agobroombroom 1.0.8 fixes cluster-robust intervals, drops orcutt tidiers
Frequently asked questions
What is the difference between broom and modelbased?
They serve adjacent needs but don't currently overlap on shipped themes. broom and modelbased 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 better than modelbased?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. broom and modelbased 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?
Top broom alternatives in Analytics are ranked by recent ship velocity. Browse the "broom alternatives" section above for the current picks, or visit /alternatives/broom for the full list with editorial commentary on each.
What are the best alternatives to modelbased?
Top modelbased alternatives in Analytics are ranked by recent ship velocity. Browse the "modelbased alternatives" section above for the current picks, or visit /alternatives/modelbased for the full list with editorial commentary on each.