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poissonreg vs Tplyr

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

poissonreg vs Tplyr: at a glance

FeaturepoissonregTplyr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themestidymodels, count-regression, glmnet, r-languageclinical-trials, tables, traceability, r-package
Last editorial update3h ago1h 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 Tplyr?

Tplyr made clinical summary tables explain where every number came from.

Tplyr builds clinical summary tables through a layered grammar — count, descriptive statistics, and shift layers assembled onto a table object. The 1.0.0 release added a traceability metadata framework that lets a user ask which source rows produced any given cell, and later releases extended it to cases the first pass missed. The package is maintained by Atorus within the pharmaverse ecosystem.

Read the full Tplyr trajectory →

poissonreg vs Tplyr: 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
Tplyr
ANALYTICS
0.0

Tplyr made clinical summary tables explain where every number came from.

◆ Current state

Tplyr builds clinical summary tables through a layered grammar — count, descriptive statistics, and shift layers assembled onto a table object. The 1.0.0 release added a traceability metadata framework that lets a user ask which source rows produced any given cell, and later releases extended it to cases the first pass missed. The package is maintained by Atorus within the pharmaverse ecosystem.

◆ Where it's heading

Post-1.0 work has been about completing the metadata story and filling gaps in layer composition rather than adding table types — metadata for missing subjects, add_anti_join(), missing-subject rows, data limiting, and fixes to nested count layers where an inner value appears under several outer groups. Releases cluster tightly after a major version, then go quiet, and the window ends with a patch issued days after the release it corrects.

◆ Prediction

Further releases will most likely continue closing traceability and nested-layer edge cases rather than introducing new layer types, following the pattern of both post-1.0 feature releases.

Alternatives to poissonreg and Tplyr

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 Tplyr.

See all poissonreg alternatives → · See all Tplyr alternatives →

Recent activity from poissonreg and Tplyr

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

  1. 3mo agopoissonregglmnet predictions now default to mean counts
  2. 2y agoTplyrMissing-subject metadata, add_anti_join(), and nested-layer fixes
  3. 3y agoTplyrMetadata vignette fix and parenthesis hugging
  4. 3y agoTplyrDenominator logic fix ahead of CRAN release
  5. 3y agoTplyrReverse-dependency fix
  6. 3y agoTplyr1.0.0 introduces the traceability metadata framework
  7. 3y agopoissonregDocumentation regenerated for valid HTML5
  8. 4y agopoissonregCase weight support tracks parsnip 1.0.0
  9. 4y agopoissonregModel definitions move out of poissonreg into parsnip
  10. 4y agopoissonregglm becomes the default engine; tidy() for hurdle models
  11. 5y agopoissonregFirst release, with a glmnet column-order safeguard

Frequently asked questions

What is the difference between poissonreg and Tplyr?

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

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

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