fillpattern
Pattern fills for ggplot2, hardened against the ways users write sizes
Comparison · Analytics
cubist vs detectseparation
A side-by-side editorial comparison of cubist and detectseparation — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
cubist vs detectseparation: at a glance
What is cubist?
The R port of Quinlan's Cubist gets reproducibility fixes, not new modelling
Cubist is the R interface to Quinlan's rule-based regression model, wrapping the original C sources behind an R API and feeding the tidymodels rules package. The 0.6.0 release adds a strip_time_stamps control that removes date, time and duration information from model output, and now errors rather than silently misbehaving when a date or date-time column is passed. Error reporting moves from base stop() and warning() to cli.
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.
cubist vs detectseparation: editorial side-by-side
cubist
0.0ANALYTICS
The R port of Quinlan's Cubist gets reproducibility fixes, not new modelling
◆ Current state
Cubist is the R interface to Quinlan's rule-based regression model, wrapping the original C sources behind an R API and feeding the tidymodels rules package. The 0.6.0 release adds a strip_time_stamps control that removes date, time and duration information from model output, and now errors rather than silently misbehaving when a date or date-time column is passed. Error reporting moves from base stop() and warning() to cli.
◆ Where it's heading
The direction is custodial: this is a mature algorithm with a stable definition, so the work is making a decades-old C codebase behave predictably inside a modern R workflow. The reproducibility thread is the clearest one — embedded timestamps mean two identical models compare as different objects, which breaks caching, testing and any workflow that hashes results. Alongside it runs slow C hygiene, from keyword symbol overwrites in 0.5.0 to unused-variable warnings in 0.6.0.
◆ Prediction
Expect continued small maintenance releases tracking CRAN compiler requirements and the needs of the rules package, with no change to the modelling algorithm itself.
detectseparation
0.0ANALYTICS
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.
Alternatives to cubist and detectseparation
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 cubist or detectseparation.
gcube
gcube's recent releases are all packaging metadata, not simulation code
ggstats
ggstats keeps widening what a coefficient or Likert plot can be
ecodive
ecodive rebuilt itself into a broad diversity-metric library, breaking as it went
simStateSpace
State-space data simulation for R, filled in one function at a time
rollama
rollama turns a local-LLM wrapper into an instrument for reproducible annotation
See all cubist alternatives → · See all detectseparation alternatives →
Recent activity from cubist and detectseparation
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3mo agodetectseparationdetectseparation v0.4
- 5mo agocubiststrip_time_stamps makes fitted models reproducible
- 9mo agocubistCubist 0.5.1
- 1y agocubistCubist 0.5.0
- 2y agocubistCubist 0.4.4
- 3y agodetectseparationdetectseparation v0.3
- 4y agocubistCubist 0.4.0
- 5y agodetectseparationdetectseparation v0.2
Frequently asked questions
What is the difference between cubist and detectseparation?
Both compete on the same themes — r-package — within Analytics. cubist and detectseparation 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 cubist better than detectseparation?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. cubist and detectseparation 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 cubist?
Top cubist alternatives in Analytics are ranked by recent ship velocity. Browse the "cubist alternatives" section above for the current picks, or visit /alternatives/cubist for the full list with editorial commentary on each.
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.