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cfr vs poissonreg

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

cfr vs poissonreg: at a glance

Featurecfrpoissonreg
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesepidemiology, severity-estimation, outbreak-analytics, epiversetidymodels, count-regression, glmnet, r-language
Last editorial update4h ago45m ago
WebsiteVisit →Visit →

What is cfr?

cfr packaged delay-corrected severity estimation, then went quiet on maintenance.

The package estimates disease severity and case ascertainment while correcting for the delay between a case being reported and its outcome being known. After the 0.1.1 rework of the estimation internals and a maintainer handover to Adam Kucharski, activity dropped to a vignette and an R-devel compatibility patch in February 2025.

Read the full cfr trajectory →

What is poissonreg?

poissonreg gave its models away to parsnip and kept the glue — now it just keeps glmnet honest.

poissonreg is a tidymodels extension that wires Poisson and zero-inflated count regression into the parsnip interface. Its defining event was giving up ownership: the model definition functions moved into parsnip itself, leaving this package as engine bindings and prediction plumbing. The current dev release is entirely correctness and hygiene work — glmnet predictions now default to mean counts rather than the linear predictor, and single-observation prediction works at last.

Read the full poissonreg trajectory →

cfr vs poissonreg: editorial side-by-side

C
cfr
ANALYTICS
0.0

cfr packaged delay-corrected severity estimation, then went quiet on maintenance.

◆ Current state

The package estimates disease severity and case ascertainment while correcting for the delay between a case being reported and its outcome being known. After the 0.1.1 rework of the estimation internals and a maintainer handover to Adam Kucharski, activity dropped to a vignette and an R-devel compatibility patch in February 2025.

◆ Where it's heading

The methodological work is done and consolidated: likelihood approximation is now selected automatically from outbreak size and an initial severity estimate, and the internals were renamed with a dot prefix to close the public surface down to cfr_static(), cfr_rolling() and the data-preparation generic. Releases since have been documentation and compatibility only.

◆ Prediction

The 0.1.0 notes flagged time-varying ascertainment as future work and it has not appeared in the two releases since; nothing in these entries indicates when or whether it lands.

P
poissonreg
ANALYTICS
0.0

poissonreg gave its models away to parsnip and kept the glue — now it just keeps glmnet honest.

◆ Current state

poissonreg is a tidymodels extension that wires Poisson and zero-inflated count regression into the parsnip interface. Its defining event was giving up ownership: the model definition functions moved into parsnip itself, leaving this package as engine bindings and prediction plumbing. The current dev release is entirely correctness and hygiene work — glmnet predictions now default to mean counts rather than the linear predictor, and single-observation prediction works at last.

◆ Where it's heading

Release cadence has collapsed from yearly to a four-year gap between 1.0.1 and the current development version, and the content has shifted from features to deduplication against parsnip — copied helper functions replaced by the upstream originals, obsolete generic registrations removed, tests migrated to the shared extension-package pattern. This is what a stabilized tidymodels satellite looks like: the interface lives upstream, and the package's job is to not drift from it.

◆ Prediction

The dev version's accumulated fixes point to a CRAN release of 1.0.2 as the next move, with content limited to the glmnet prediction corrections rather than any new engine or model type.

Alternatives to cfr and poissonreg

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 cfr or poissonreg.

See all cfr alternatives → · See all poissonreg alternatives →

Recent activity from cfr and poissonreg

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

  1. 3mo agopoissonregglmnet predictions now default to mean counts
  2. 1y agocfrR-devel difftime patch and an individual-data vignette
  3. 2y agocfrSeverity estimator picks its own likelihood approximation
  4. 2y agocfrDelay-corrected severity and ascertainment estimation on CRAN
  5. 3y agopoissonregDocumentation regenerated for valid HTML5
  6. 4y agopoissonregCase weight support tracks parsnip 1.0.0
  7. 4y agopoissonregModel definitions move out of poissonreg into parsnip
  8. 4y agopoissonregglm becomes the default engine; tidy() for hurdle models
  9. 5y agopoissonregFirst release, with a glmnet column-order safeguard

Frequently asked questions

What is the difference between cfr and poissonreg?

They serve adjacent needs but don't currently overlap on shipped themes. cfr and poissonreg 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 cfr better than poissonreg?

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

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

What are the best alternatives to poissonreg?

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