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dcurves vs lazyeval

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

dcurves vs lazyeval: at a glance

Featuredcurveslazyeval
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesclinical-prediction, decision-analysis, net-benefit, biostatisticsnon-standard-evaluation, r-c-api, dormancy-revival, tidyverse
Last editorial update34m ago1h 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 lazyeval?

A package retired in 2017 just got rewritten against R's public C API.

lazyeval was the tidyverse's pre-rlang non-standard evaluation layer, formally set aside in 2017 when tidy evaluation replaced it. After eight and a half years without a release, 0.2.3 arrives as a compliance rewrite: the implementation now uses R's public C API, and the release note states it may differ from the historical one in subtle ways. Nothing about the package's role has changed.

Read the full lazyeval trajectory →

dcurves vs lazyeval: 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.

L
lazyeval
ANALYTICS
0.0

A package retired in 2017 just got rewritten against R's public C API.

◆ Current state

lazyeval was the tidyverse's pre-rlang non-standard evaluation layer, formally set aside in 2017 when tidy evaluation replaced it. After eight and a half years without a release, 0.2.3 arrives as a compliance rewrite: the implementation now uses R's public C API, and the release note states it may differ from the historical one in subtle ways. Nothing about the package's role has changed.

◆ Where it's heading

This is a dormancy revival driven entirely from outside, R core tightening what counts as the public C API forces packages using older internals to be rewritten or be archived. lazyeval is still a dependency deep in older package trees, so keeping it installable matters more than developing it. The caveat about subtle behavioural differences is the notable part: a package nobody is developing has changed behaviour in ways its release note declines to enumerate.

◆ Prediction

Expect no further development, only additional compliance releases if R core tightens the C API again.

Alternatives to dcurves and lazyeval

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 lazyeval.

See all dcurves alternatives → · See all lazyeval alternatives →

Recent activity from dcurves and lazyeval

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

  1. 4mo agolazyevalReimplemented against R's public C API after eight years dormant
  2. 9mo agodcurvesHTML5 documentation rebuild for CRAN
  3. 2y agodcurvesbroom.helpers added to Suggests for gtsummary 2.0
  4. 3y agodcurvesNet interventions plots now show treat-all and treat-none by default
  5. 4y agodcurvestest_consequences() reports accuracy across thresholds
  6. 8y agolazyevalDevelopment ends as the tidyverse moves to tidy evaluation
  7. 10y agolazyevalFormula-based lazy evaluation system introduced
  8. 11y agolazyevallazyeval 0.1.10
  9. 11y agolazyevallazyeval 0.1.9

Frequently asked questions

What is the difference between dcurves and lazyeval?

They serve adjacent needs but don't currently overlap on shipped themes. dcurves and lazyeval 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 lazyeval?

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

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