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Comparison · Analytics

broom.helpers vs r2dii.plot

A side-by-side editorial comparison of broom.helpers and r2dii.plot — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

broom.helpers vs r2dii.plot: at a glance

Featurebroom.helpersr2dii.plot
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesregression-tidying, r-package, gtsummary, deprecationclimate-finance, data-visualization, pacta, ggplot2
Last editorial update43m ago38m ago
WebsiteVisit →Visit →

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.

Read the full broom.helpers trajectory →

What is r2dii.plot?

PACTA's climate-alignment charting layer split prep from plotting, then settled into stable.

r2dii.plot renders the standard PACTA climate-alignment charts — trajectory, tech mix, emission intensity — as ggplot2 objects, paired with the 2DII colour palettes and theme. Since 0.4.0 the package has exposed a two-step pipeline where prep_*() shapes the data before plot_*() draws it, while qplot_*() remains the one-call convenience path. It declared itself stable in early 2025.

Read the full r2dii.plot trajectory →

broom.helpers vs r2dii.plot: editorial side-by-side

B
broom.helpers
ANALYTICS
0.0

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.

R
r2dii.plot
ANALYTICS
0.0

PACTA's climate-alignment charting layer split prep from plotting, then settled into stable.

◆ Current state

r2dii.plot renders the standard PACTA climate-alignment charts — trajectory, tech mix, emission intensity — as ggplot2 objects, paired with the 2DII colour palettes and theme. Since 0.4.0 the package has exposed a two-step pipeline where prep_*() shapes the data before plot_*() draws it, while qplot_*() remains the one-call convenience path. It declared itself stable in early 2025.

◆ Where it's heading

The package has been converging on a settled contract for years. Early releases chased visual polish and label handling, then 0.2.0 exposed the palette scales as reusable ggplot2 components, and 0.4.0 made the prepared data a first-class artefact rather than something hidden inside a plotting call. Recent releases are documentation and hygiene: a data_dictionary describing every column, definitions filled in, demo datasets renamed to say they are demos. It also moved organisations, from 2DII to RMI-PACTA, and its releases stay pinned to r2dii.analysis and to ggplot2's deprecation schedule.

◆ Prediction

With the lifecycle marked stable and the last two releases confined to dataset naming and documentation, the next release is most likely another ggplot2 compatibility pass or a sibling-package alignment rather than new chart types.

Alternatives to broom.helpers and r2dii.plot

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.plot.

See all broom.helpers alternatives → · See all r2dii.plot alternatives →

Recent activity from broom.helpers and r2dii.plot

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

  1. 11mo agobroom.helpersQuantile regression support lands as legacy selectors are removed
  2. 1y agor2dii.plotBundled datasets renamed to mark them as demos
  3. 1y agobroom.helpersExperimental tidier for survey-weighted VGAM models
  4. 1y agobroom.helpersNew grouping controls for tidied model results
  5. 1y agor2dii.plotColumn definitions added to the data dictionary
  6. 1y agor2dii.plotData dictionary lands and the package declares itself stable
  7. 1y agobroom.helpersMarginal means tidier hard deprecated
  8. 1y agobroom.helpersInstrumental variable support for fixest models
  9. 1y agobroom.helpersbroom.helpers 1.17.0
  10. 2y agor2dii.plotr2dii.plot 0.4.0
  11. 3y agor2dii.plotPACTA colour palettes exposed as datasets after org move
  12. 4y agor2dii.plotTrajectory plots move to percentage scaling alongside r2dii.analysis

Frequently asked questions

What is the difference between broom.helpers and r2dii.plot?

Both compete on the same themes — r-package — within Analytics. broom.helpers and r2dii.plot 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.plot?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. broom.helpers and r2dii.plot 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.plot?

Top r2dii.plot alternatives in Analytics are ranked by recent ship velocity. Browse the "r2dii.plot alternatives" section above for the current picks, or visit /alternatives/r2dii-plot for the full list with editorial commentary on each.