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detectseparation vs rATTAINS

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

Shared themes:r-package

detectseparation vs rATTAINS: at a glance

FeaturedetectseparationrATTAINS
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, regression, diagnostics, separationwater-quality, epa-data, r-package, api-wrapper
Last editorial update58m ago2h ago
WebsiteVisit →Visit →

What is detectseparation?

A diagnostic package that generalized past its own name, then learned to say which kind of separation it found

detectseparation identifies separation and infinite estimates in binomial-response GLMs — the condition where maximum likelihood estimates diverge and standard software reports large coefficients with enormous standard errors instead of an error. Version 0.3 was the structural turn: detect_infinite_estimates() became the general method covering log, logit, probit and cauchit links, with detect_separation() demoted to a wrapper around it. Version 0.4 in April 2026 adds the ability to distinguish complete from quasi-complete separation via separation_type.

Read the full detectseparation trajectory →

What is rATTAINS?

The R client for EPA water quality data spent two releases undoing its own promises about data shape.

rATTAINS wraps the EPA's ATTAINS API, which holds state water quality assessments and impaired-waters listings. The package reached 1.0.0 by promising stable, consistently rectangled return structures, then walked that promise back in 1.1.0 when it dropped the dependency doing the rectangling. As of 1.2.0 it also requires an API key, because ATTAINS itself began requiring one in May 2026.

Read the full rATTAINS trajectory →

detectseparation vs rATTAINS: editorial side-by-side

D0.0

A diagnostic package that generalized past its own name, then learned to say which kind of separation it found

◆ Current state

detectseparation identifies separation and infinite estimates in binomial-response GLMs — the condition where maximum likelihood estimates diverge and standard software reports large coefficients with enormous standard errors instead of an error. Version 0.3 was the structural turn: detect_infinite_estimates() became the general method covering log, logit, probit and cauchit links, with detect_separation() demoted to a wrapper around it. Version 0.4 in April 2026 adds the ability to distinguish complete from quasi-complete separation via separation_type.

◆ Where it's heading

The package has been generalizing steadily — first past its own framing, since separation is one case of infinite estimates rather than the whole problem, and now toward finer classification of what it detects. The distinction 0.4 adds is practically useful because complete and quasi-complete separation call for different responses. Release intervals are long, roughly two to four years, which fits a diagnostic tool whose underlying theory is settled.

◆ Prediction

With link coverage broad and separation now classified by type, further work is more likely to refine reporting than to extend detection to new model families.

R
rATTAINS
ANALYTICS
0.0

The R client for EPA water quality data spent two releases undoing its own promises about data shape.

◆ Current state

rATTAINS wraps the EPA's ATTAINS API, which holds state water quality assessments and impaired-waters listings. The package reached 1.0.0 by promising stable, consistently rectangled return structures, then walked that promise back in 1.1.0 when it dropped the dependency doing the rectangling. As of 1.2.0 it also requires an API key, because ATTAINS itself began requiring one in May 2026.

◆ Where it's heading

The direction is toward a thinner, lower-maintenance wrapper. Caching went in 0.1.4 when hoardr was archived, tidyjson and janitor went earlier, tibblify went in 1.1.0, and each removal handed a little more data-shaping responsibility back to the user — the current advice is to pass .unnest = FALSE and rectangle the results with whatever tidying package you prefer. Release cadence is slow and mostly reactive: upstream API terms, archived dependencies, and compatibility with test tooling account for most of the log. The package's centre of gravity is staying installable and honest about what ATTAINS returns rather than smoothing it over.

◆ Prediction

Given the pattern, the next release is likelier to be a compatibility or upstream-driven fix than new endpoint coverage; how the API key requirement affects users in scripted and CI contexts is the obvious open question the entries do not yet answer.

Alternatives to detectseparation and rATTAINS

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 detectseparation or rATTAINS.

See all detectseparation alternatives → · See all rATTAINS alternatives →

Recent activity from detectseparation and rATTAINS

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

  1. 1mo agorATTAINSATTAINS now requires an API key, and the package follows
  2. 3mo agodetectseparationdetectseparation v0.4
  3. 8mo agorATTAINSThe tibblify dependency goes, and with it the stable data shapes
  4. 1y agorATTAINSTest suite updated for vcr v2
  5. 3y agorATTAINS1.0.0 commits to stable return structures via tibblify
  6. 3y agorATTAINSCaching removed after hoardr was archived
  7. 3y agodetectseparationdetectseparation v0.3
  8. 4y agorATTAINSRequests retry on timeout, with offline detection
  9. 5y agodetectseparationdetectseparation v0.2

Frequently asked questions

What is the difference between detectseparation and rATTAINS?

Both compete on the same themes — r-package — within Analytics. detectseparation and rATTAINS 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 detectseparation better than rATTAINS?

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

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

What are the best alternatives to rATTAINS?

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