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dcurves vs r2dii.analysis

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

Shared themes:r-package

dcurves vs r2dii.analysis: at a glance

Featuredcurvesr2dii.analysis
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesclinical-prediction, decision-analysis, net-benefit, biostatisticsclimate-finance, portfolio-alignment, pacta, scenario-analysis
Last editorial update39m ago44m ago
WebsiteVisit →Visit →

What is dcurves?

Decision curve analysis, settled since 2022 and now moving only when its neighbours do

dcurves implements decision curve analysis — evaluating a prediction model or diagnostic test by net benefit across the range of thresholds a clinician might plausibly use, rather than by a single discrimination statistic. Its API stabilised in 2022 around dca() and test_consequences(). The two releases since exist because gtsummary and CRAN documentation rules changed, not because the method did.

Read the full dcurves trajectory →

What is r2dii.analysis?

The climate-alignment maths behind PACTA, now stable and maintained rather than reshaped

r2dii.analysis computes the target-setting side of PACTA: market-share and sectoral decarbonisation targets that measure a loan book or portfolio against climate scenarios. It sits downstream of the matched company data the sibling packages produce. The 0.5.0 release declared it lifecycle-stable and handed maintenance to a new lead, and releases since have been narrow corrections rather than new methods.

Read the full r2dii.analysis trajectory →

dcurves vs r2dii.analysis: editorial side-by-side

D
dcurves
ANALYTICS
0.0

Decision curve analysis, settled since 2022 and now moving only when its neighbours do

◆ Current state

dcurves implements decision curve analysis — evaluating a prediction model or diagnostic test by net benefit across the range of thresholds a clinician might plausibly use, rather than by a single discrimination statistic. Its API stabilised in 2022 around dca() and test_consequences(). The two releases since exist because gtsummary and CRAN documentation rules changed, not because the method did.

◆ Where it's heading

The package reached its intended scope quickly and then stopped. Its 2022 releases did the substantive work: adding threshold-level diagnostic accuracy, tightening argument validation, and taking one breaking change to make net-interventions-avoided plots show the treat-all and treat-none reference lines by default. Since then it has moved only as a dependent of the wider tidy-modelling documentation ecosystem it plugs into.

◆ Prediction

Nothing in these entries points to method or API work; expect the next release to be another compatibility or CRAN documentation patch.

R0.0

The climate-alignment maths behind PACTA, now stable and maintained rather than reshaped

◆ Current state

r2dii.analysis computes the target-setting side of PACTA: market-share and sectoral decarbonisation targets that measure a loan book or portfolio against climate scenarios. It sits downstream of the matched company data the sibling packages produce. The 0.5.0 release declared it lifecycle-stable and handed maintenance to a new lead, and releases since have been narrow corrections rather than new methods.

◆ Where it's heading

The history is a package converging. Early releases churn the output contract of target_market_share() and target_sda() — which sectors appear, which years, how missing production is treated — and each change alters the numbers users get. The ald-to-abcd rename runs across several releases before completing, and by 0.5.0 the churn has stopped, with three older summarise functions soft-deprecated and the package marked stable. What remains is edge-case correctness in target coverage.

◆ Prediction

With the package marked stable and the terminology migration finished, the soft-deprecated summarise functions are the obvious next thing to remove outright.

Alternatives to dcurves and r2dii.analysis

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 dcurves or r2dii.analysis.

See all dcurves alternatives → · See all r2dii.analysis alternatives →

Recent activity from dcurves and r2dii.analysis

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

  1. 7mo agor2dii.analysisLow-carbon technology targets filled in for partial company coverage
  2. 9mo agodcurvesHTML5 documentation rebuild for CRAN
  3. 1y agor2dii.analysisColumn definitions filled into the data dictionary
  4. 1y agor2dii.analysisPackage declared stable, three summarise functions soft-deprecated
  5. 2y agodcurvesbroom.helpers added to Suggests for gtsummary 2.0
  6. 2y agor2dii.analysisald argument removed for good in favour of abcd
  7. 2y agor2dii.analysisCompany-level SDA converges on the scenario's final year
  8. 3y agodcurvesNet interventions plots now show treat-all and treat-none by default
  9. 3y agor2dii.analysisRepository moved to the RMI-PACTA organisation
  10. 4y agodcurvestest_consequences() reports accuracy across thresholds

Frequently asked questions

What is the difference between dcurves and r2dii.analysis?

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

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

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

What are the best alternatives to r2dii.analysis?

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