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poissonreg vs tern.rbmi

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

poissonreg vs tern.rbmi: at a glance

Featurepoissonregtern.rbmi
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themestidymodels, count-regression, glmnet, r-languagepharmaverse, multiple-imputation, cran-maintenance, tabulation
Last editorial update46m ago5h ago
WebsiteVisit →Visit →

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 →

What is tern.rbmi?

Reference-based multiple imputation tables, shipping only what CRAN checks demand.

tern.rbmi renders the output of {rbmi} reference-based multiple imputation analyses into tern tables for clinical reporting. Its three most recent releases exist to satisfy CRAN: restricting vignette builds to gcc, adding V8 to Suggests, and a plain resubmission. No user-facing functionality has changed in the visible window.

Read the full tern.rbmi trajectory →

poissonreg vs tern.rbmi: editorial side-by-side

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.

T
tern.rbmi
ANALYTICS
0.0

Reference-based multiple imputation tables, shipping only what CRAN checks demand.

◆ Current state

tern.rbmi renders the output of {rbmi} reference-based multiple imputation analyses into tern tables for clinical reporting. Its three most recent releases exist to satisfy CRAN: restricting vignette builds to gcc, adding V8 to Suggests, and a plain resubmission. No user-facing functionality has changed in the visible window.

◆ Where it's heading

This is a thin adapter package and behaves like one — it moves when CRAN or an upstream dependency forces it to. Between 2022 and 2024 the feed shows only version bumps, and the 2025 releases are packaging concerns rather than analysis changes.

◆ Prediction

Expect the next release to be triggered by a CRAN check failure or an {rbmi} update rather than by new tabulation features.

Alternatives to poissonreg and tern.rbmi

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 poissonreg or tern.rbmi.

See all poissonreg alternatives → · See all tern.rbmi alternatives →

Recent activity from poissonreg and tern.rbmi

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

  1. 3mo agopoissonregglmnet predictions now default to mean counts
  2. 1y agotern.rbmiVignette built only under gcc
  3. 1y agotern.rbmiV8 added to Suggests
  4. 1y agotern.rbmiCRAN resubmission with dependency and workflow updates
  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 poissonreg and tern.rbmi?

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

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

What are the best alternatives to tern.rbmi?

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