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poissonreg vs sftime

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

poissonreg vs sftime: at a glance

Featurepoissonregsftime
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themestidymodels, count-regression, glmnet, r-languagespatiotemporal, r-spatial, interoperability, tidyverse-integration
Last editorial update43m ago2h 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 sftime?

The spatiotemporal companion to sf, moving at the pace of the packages around it.

sftime extends sf with an active time column, giving R a data frame class for data that is both spatial and temporal. Its recent history is almost entirely integration work: 0.3.0 added conversion methods from spatstat point patterns, sftrack and sftraj movement objects and cubble data frames, plus dedicated tidyr::drop_na() and dplyr::dplyr_reconstruct() methods. The two releases since are a namespace version-check correction and a switch from the magrittr pipe to the native pipe in examples.

Read the full sftime trajectory →

poissonreg vs sftime: 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.

S
sftime
ANALYTICS
0.0

The spatiotemporal companion to sf, moving at the pace of the packages around it.

◆ Current state

sftime extends sf with an active time column, giving R a data frame class for data that is both spatial and temporal. Its recent history is almost entirely integration work: 0.3.0 added conversion methods from spatstat point patterns, sftrack and sftraj movement objects and cubble data frames, plus dedicated tidyr::drop_na() and dplyr::dplyr_reconstruct() methods. The two releases since are a namespace version-check correction and a switch from the magrittr pipe to the native pipe in examples.

◆ Where it's heading

The package's job is to be interoperable, so its releases follow whatever the surrounding spatial and tidyverse packages do. The dplyr_reconstruct() work is the clearest example of why that matters: inheriting sf's method caused column binding to silently return an sf object where an sftime object was expected, which is the kind of class-preservation bug that only surfaces two steps downstream. Development is sparse, roughly one release a year.

◆ Prediction

Expect further conversion methods as new spatiotemporal classes appear in the R spatial ecosystem, and continued tracking of dplyr and tidyr generics. The entries do not indicate any planned change to the sftime class itself.

Alternatives to poissonreg and sftime

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 sftime.

See all poissonreg alternatives → · See all sftime alternatives →

Recent activity from poissonreg and sftime

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

  1. 3mo agosftimeExamples switched to the native R pipe
  2. 3mo agopoissonregglmnet predictions now default to mean counts
  3. 11mo agosftimeFixes the cubble namespace version check
  4. 1y agosftimeConverts from spatstat, sftrack and cubble objects
  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 sftime?

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

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

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