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ggeffects vs taxa

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

ggeffects vs taxa: at a glance

Featureggeffectstaxa
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmarginal-effects, r-stats, statistics, breaking-changestaxonomy, vctrs, stalled-rewrite, cran-maintenance
Last editorial update4h ago1h ago
WebsiteVisit →Visit →

What is ggeffects?

ggeffects hands its contrast engine to modelbased and keeps the interface

ggeffects computes and plots marginal effects for a long tail of R model classes. Its recent line has two threads: steadily broadening model support and argument surface, and repeatedly absorbing breaking changes from the packages it computes on top of. In 2.2.0 it stopped absorbing them and delegated test_predictions() and johnson_neyman() to modelbased instead.

Read the full ggeffects trajectory →

What is taxa?

taxa started a ground-up rewrite in 2021 and has published almost nothing since.

0.4.0 began a complete rewrite aimed at making the component classes behave like base R vectors, explicitly shipping without the `taxmap` class and parking the old implementation inside metacoder until the new one matured. Four years later that is still where things stand: 0.4.2 experimented with `''` instead of `NA` for missing values and chased a vctrs test break, and 0.4.4 fixed CRAN check issues. The releases before the rewrite were the productive ones — `taxonomy_table()`, `print_tree()`, `get_dataset()`, fuzzy name matching, faster parsers.

Read the full taxa trajectory →

ggeffects vs taxa: editorial side-by-side

G
ggeffects
ANALYTICS
0.0

ggeffects hands its contrast engine to modelbased and keeps the interface

◆ Current state

ggeffects computes and plots marginal effects for a long tail of R model classes. Its recent line has two threads: steadily broadening model support and argument surface, and repeatedly absorbing breaking changes from the packages it computes on top of. In 2.2.0 it stopped absorbing them and delegated test_predictions() and johnson_neyman() to modelbased instead.

◆ Where it's heading

The package is settling into a front-end role — a consistent predict_response() interface over other people's estimation engines — rather than owning the computation itself. The 2.x releases also show a pattern of removing deprecated arguments and clarifying mixed-model semantics, so the interface is being tightened as the backend is outsourced.

◆ Prediction

Expect the features lost in the modelbased handover to return as that package's contrast and slope estimation matures, rather than being reimplemented locally.

T
taxa
ANALYTICS
0.0

taxa started a ground-up rewrite in 2021 and has published almost nothing since.

◆ Current state

0.4.0 began a complete rewrite aimed at making the component classes behave like base R vectors, explicitly shipping without the `taxmap` class and parking the old implementation inside metacoder until the new one matured. Four years later that is still where things stand: 0.4.2 experimented with `''` instead of `NA` for missing values and chased a vctrs test break, and 0.4.4 fixed CRAN check issues. The releases before the rewrite were the productive ones — `taxonomy_table()`, `print_tree()`, `get_dataset()`, fuzzy name matching, faster parsers.

◆ Where it's heading

The rewrite has not landed. `taxmap`, the class most users came for, was never reimplemented in the new design, and the only releases since are CRAN compliance. Meanwhile metacoder still carries the old taxa, which means the ecosystem is running on the version the rewrite was meant to replace. This reads as a stalled migration rather than an active one.

◆ Prediction

Nothing in the entries indicates the rewrite is resuming; the likely next release is another CRAN-check fix. Whether `taxmap` ever arrives in the new design is unresolved.

Alternatives to ggeffects and taxa

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 ggeffects or taxa.

See all ggeffects alternatives → · See all taxa alternatives →

Recent activity from ggeffects and taxa

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

  1. 1y agotaxataxa 0.4.4 fixes CRAN check issues
  2. 1y agoggeffectsggeffects delegates contrasts and slopes to modelbased
  3. 1y agoggeffectsFive focal terms and formula-based contrast tests
  4. 1y agoggeffectsMixed-model predictions split type from interval
  5. 1y agoggeffectsBias correction for back-transformed mixed-model predictions
  6. 1y agoggeffectsSupport for WeightIt model classes
  7. 2y agoggeffectsglmgee support and vcov controls for ggemmeans()
  8. 4y agotaxataxa 0.4.2 tries empty strings for missing values
  9. 5y agotaxataxa 0.4.0 begins a base-R-vector rewrite without taxmap
  10. 6y agotaxataxa 0.3.4 fixes n_obs with numeric column names
  11. 6y agotaxataxa 0.3.3 supports numeric column names in taxmap
  12. 7y agotaxataxa 0.3.2 fixes parsers and adds negative class_col indexes

Frequently asked questions

What is the difference between ggeffects and taxa?

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

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

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

What are the best alternatives to taxa?

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