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r2dii.plot vs rrum

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

Shared themes:r-package

r2dii.plot vs rrum: at a glance

Featurer2dii.plotrrum
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesclimate-finance, data-visualization, pacta, ggplot2psychometrics, r-package, gibbs-sampling, maintenance
Last editorial update37m ago44m ago
WebsiteVisit →Visit →

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 →

What is rrum?

Six years past its API cleanup, rrum ships only what the compiler demands.

rrum estimates the reduced Reparameterized Unified Model via a Gibbs sampler in Rcpp/Armadillo, with simulation delegated to its sibling package simcdm. The user-facing API has been settled since 2019, when the entry point was renamed and simulation was moved out. Releases since then have been build and CRAN compliance work.

Read the full rrum trajectory →

r2dii.plot vs rrum: editorial side-by-side

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.

R
rrum
ANALYTICS
0.0

Six years past its API cleanup, rrum ships only what the compiler demands.

◆ Current state

rrum estimates the reduced Reparameterized Unified Model via a Gibbs sampler in Rcpp/Armadillo, with simulation delegated to its sibling package simcdm. The user-facing API has been settled since 2019, when the entry point was renamed and simulation was moved out. Releases since then have been build and CRAN compliance work.

◆ Where it's heading

The arc runs from an API-breaking consolidation in 2019, through a 2023 release fixing C++ deprecations and adding a pkgdown site, to a 2025 maintenance release that raises dependency floors and swaps a deprecated Armadillo conversion call. Each release is triggered by something outside the package — R-devel, CRAN check notes, an Armadillo deprecation — rather than by modeling work. The 2025 release arrived the same morning as a near-identical one for edina, marking it as a maintainer-wide sweep across the lab's packages.

◆ Prediction

The next release will most likely be another externally forced compatibility fix, since three consecutive releases have been reactions to toolchain deprecations rather than to user requests.

Alternatives to r2dii.plot and rrum

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 r2dii.plot or rrum.

See all r2dii.plot alternatives → · See all rrum alternatives →

Recent activity from r2dii.plot and rrum

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

  1. 10mo agorrumrrum 0.2.2 - Maintenance Release
  2. 1y agor2dii.plotBundled datasets renamed to mark them as demos
  3. 1y agor2dii.plotColumn definitions added to the data dictionary
  4. 1y agor2dii.plotData dictionary lands and the package declares itself stable
  5. 2y agor2dii.plotr2dii.plot 0.4.0
  6. 2y agorrumR-devel C++ fixes, pkgdown site, CI moved to GitHub Actions
  7. 3y agor2dii.plotPACTA colour palettes exposed as datasets after org move
  8. 4y agor2dii.plotTrajectory plots move to percentage scaling alongside r2dii.analysis
  9. 7y agorrumCRAN release breaks the API and moves simulation to simcdm

Frequently asked questions

What is the difference between r2dii.plot and rrum?

Both compete on the same themes — r-package — within Analytics. r2dii.plot and rrum 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 r2dii.plot better than rrum?

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

What are the best alternatives to rrum?

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