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DHARMa vs epidict

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

Shared themes:r-package

DHARMa vs epidict: at a glance

FeatureDHARMaepidict
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesresidual-diagnostics, glmm, breaking-change, bayesianepidemiology, data-dictionaries, cran, humanitarian-data
Last editorial update1h ago19m 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 epidict?

A spin-out dictionary reader for MSF epidemiological data, finding its shape on CRAN

epidict reads and applies the data dictionaries MSF field epidemiologists use to standardise outbreak and survey datasets. It was split out of the larger sitrep toolchain so the dictionary-reading and variable-renaming functions could ship on CRAN independently. Three releases in roughly two months have taken it from that initial separation to handling intersectional dictionaries.

Read the full epidict trajectory →

DHARMa vs epidict: 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.

E
epidict
ANALYTICS
0.0

A spin-out dictionary reader for MSF epidemiological data, finding its shape on CRAN

◆ Current state

epidict reads and applies the data dictionaries MSF field epidemiologists use to standardise outbreak and survey datasets. It was split out of the larger sitrep toolchain so the dictionary-reading and variable-renaming functions could ship on CRAN independently. Three releases in roughly two months have taken it from that initial separation to handling intersectional dictionaries.

◆ Where it's heading

The arc is a package being unbundled and then reassembled as its dependencies land on CRAN. The 0.1.0 release deliberately dropped msf_dict_rename_helper() because its dependencies weren't available; 0.2.0 put it back. 0.3.0 is the first release that adds rather than restores, extending intersectional dictionary support and giving callers control over name cleaning.

◆ Prediction

Expect the next releases to keep widening dictionary coverage rather than changing the API, since the reinstatement work that dominated 0.1.0 to 0.2.0 is now finished.

Alternatives to DHARMa and epidict

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 epidict.

See all DHARMa alternatives → · See all epidict alternatives →

Recent activity from DHARMa and epidict

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

  1. 2mo agoDHARMaConditional simulation becomes the GLMM default, changing residuals
  2. 6mo agoepidictIntersectional dictionaries plus an opt-out for name cleaning
  3. 7mo agoepidictVariable-renaming helper returns once sitrep is reachable
  4. 9mo agoepidictFirst CRAN release, carved out of the sitrep toolchain
  5. 1y agoDHARMaDHARMa 0.4.7
  6. 3y agoDHARMaDHARMa 0.4.6
  7. 4y agoDHARMaDHARMa 0.4.5
  8. 4y agoDHARMaDHARMa 0.4.4
  9. 5y agoDHARMaDHARMa 0.4.3

Frequently asked questions

What is the difference between DHARMa and epidict?

Both compete on the same themes — r-package — within Analytics. DHARMa and epidict 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 epidict?

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

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