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DHARMa vs lazyeval

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

DHARMa vs lazyeval: at a glance

FeatureDHARMalazyeval
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesresidual-diagnostics, glmm, breaking-change, bayesiannon-standard-evaluation, r-c-api, dormancy-revival, tidyverse
Last editorial update1h ago57m ago
WebsiteVisit →Visit →

What is DHARMa?

DHARMa changed how GLMM residuals are simulated, so the same code now returns different numbers.

DHARMa generates scaled quantile residuals for fitted GLMMs and runs the dispersion, uniformity, and autocorrelation tests built on them. Version 0.5.0 changed the default simulation for hierarchical models from the model's own default, mostly unconditional, to conditional simulation, and states plainly that residuals will differ from those computed by older versions. The same release added brms to the supported model set and reworked how predictors are passed to plotting and testing functions.

Read the full DHARMa 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 →

DHARMa vs lazyeval: editorial side-by-side

D
DHARMa
ANALYTICS
0.0

DHARMa changed how GLMM residuals are simulated, so the same code now returns different numbers.

◆ Current state

DHARMa generates scaled quantile residuals for fitted GLMMs and runs the dispersion, uniformity, and autocorrelation tests built on them. Version 0.5.0 changed the default simulation for hierarchical models from the model's own default, mostly unconditional, to conditional simulation, and states plainly that residuals will differ from those computed by older versions. The same release added brms to the supported model set and reworked how predictors are passed to plotting and testing functions.

◆ Where it's heading

The package has spent several releases widening which model backends it can diagnose, from glmmTMB through mgcv, phylolm and now brms, while methodological work has gone into handling correlated residuals via the rotation argument. Version 0.5.0 shifts from adding coverage to changing defaults for statistical power. The formula interface arriving across plotResiduals, testCategorical, testQuantiles and the autocorrelation tests suggests the API is being unified rather than extended function by function.

◆ Prediction

The next releases will likely broaden brms support past the simple-model restriction and continue converting remaining functions to the formula interface.

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 DHARMa 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 DHARMa or lazyeval.

See all DHARMa alternatives → · See all lazyeval alternatives →

Recent activity from DHARMa and lazyeval

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

  1. 2mo agoDHARMaConditional simulation becomes the GLMM default, changing residuals
  2. 4mo agolazyevalReimplemented against R's public C API after eight years dormant
  3. 1y agoDHARMaDHARMa 0.4.7
  4. 3y agoDHARMaDHARMa 0.4.6
  5. 4y agoDHARMaDHARMa 0.4.5
  6. 4y agoDHARMaDHARMa 0.4.4
  7. 5y agoDHARMaDHARMa 0.4.3
  8. 8y agolazyevalDevelopment ends as the tidyverse moves to tidy evaluation
  9. 10y agolazyevalFormula-based lazy evaluation system introduced
  10. 11y agolazyevallazyeval 0.1.10
  11. 11y agolazyevallazyeval 0.1.9

Frequently asked questions

What is the difference between DHARMa and lazyeval?

They serve adjacent needs but don't currently overlap on shipped themes. DHARMa 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 DHARMa better than lazyeval?

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

Top DHARMa alternatives in Analytics are ranked by recent ship velocity. Browse the "DHARMa alternatives" section above for the current picks, or visit /alternatives/dharma 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.