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detectseparation vs tEDM

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

Shared themes:r-package

detectseparation vs tEDM: at a glance

FeaturedetectseparationtEDM
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, regression, diagnostics, separationcausal-inference, time-series, empirical-dynamic-modeling, r-package
Last editorial update1h ago41m 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 tEDM?

The temporal half of the stscl EDM pair, tracking its spatial sibling

tEDM applies empirical dynamic modeling to time series — cross mapping, convergent cross mapping and the logistic map — as the temporal counterpart to spEDM, with which it shares a maintainer and a C++ core. The recent releases are consolidation rather than expansion: index handling in cross mapping corrected, generics taught to accept varying E, k and tau, and the associated paper now cited in the README. Only three releases are visible in the feed.

Read the full tEDM trajectory →

detectseparation vs tEDM: 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.

T
tEDM
ANALYTICS
0.0

The temporal half of the stscl EDM pair, tracking its spatial sibling

◆ Current state

tEDM applies empirical dynamic modeling to time series — cross mapping, convergent cross mapping and the logistic map — as the temporal counterpart to spEDM, with which it shares a maintainer and a C++ core. The recent releases are consolidation rather than expansion: index handling in cross mapping corrected, generics taught to accept varying E, k and tau, and the associated paper now cited in the README. Only three releases are visible in the feed.

◆ Where it's heading

tEDM moves in lockstep with spEDM. Configurable distance metrics, varying E/k/tau inputs, strict floating-point comparison and the S3 plotting font unification all appear in both packages within days or weeks, as does the maintainer surname correction. The recent balance has tilted toward correcting library and prediction index handling — the kind of repeated attention that suggests the indexing model was the weak point of the shared core.

◆ Prediction

Expect tEDM to keep inheriting the shared-core changes spEDM lands, with its own releases staying small and centred on cross-mapping parameter handling rather than new method surface.

Alternatives to detectseparation and tEDM

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 tEDM.

See all detectseparation alternatives → · See all tEDM alternatives →

Recent activity from detectseparation and tEDM

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

  1. 3mo agodetectseparationdetectseparation v0.4
  2. 4mo agotEDMMaintainer name corrected, published paper cited
  3. 7mo agotEDMCross-mapping index handling corrected, generics accept varying E, k, tau
  4. 11mo agotEDMConfigurable distance metrics for cross mapping
  5. 3y agodetectseparationdetectseparation v0.3
  6. 5y agodetectseparationdetectseparation v0.2

Frequently asked questions

What is the difference between detectseparation and tEDM?

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

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

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