rnaturalearth
rnaturalearth finished its sp exit and is now optimising how the data actually arrives.
Comparison · Analytics
posterior vs tidyclust
A side-by-side editorial comparison of posterior and tidyclust — release velocity, themes, recent moves, and the top alternatives to consider.
posterior vs tidyclust: at a glance
What is posterior?
posterior keeps deepening two things: the rvar type and Pareto-based diagnostics.
The releases in this window advance on two fronts. The rvar random-variable type gained factor and ordered subtypes (1.4.0), rvar-indexed slicing and `rvar_ifelse()` (1.5.0), base `%*%` matrix multiplication and indexed variable names (1.6.0). Separately, Pareto diagnostics have grown from `pareto_smooth()` options and individual `pareto_khat()`-family functions (1.6.0) through `pit()` for draws and rvars (1.6.1) to exported generalized-Pareto functions and `pareto_pit` (1.7.0). 1.7.1 is a paperwork release for a JOSS submission.
What is tidyclust?
tidyclust just tripled the model types it can fit, and handed finalization back to tune
tidyclust brings clustering into the tidymodels interface, and 0.3.0 was the release where its model coverage stopped being k-means and hierarchical clustering. DBSCAN and HDBSCAN, Gaussian mixtures, and mean shift all arrived at once as proper clustering specifications. The two releases since have been bug fixes on the metric and sparse-data paths, which is the usual pattern after a large surface addition.
posterior vs tidyclust: editorial side-by-side
posterior
0.0ANALYTICS
posterior keeps deepening two things: the rvar type and Pareto-based diagnostics.
◆ Current state
The releases in this window advance on two fronts. The rvar random-variable type gained factor and ordered subtypes (1.4.0), rvar-indexed slicing and `rvar_ifelse()` (1.5.0), base `%*%` matrix multiplication and indexed variable names (1.6.0). Separately, Pareto diagnostics have grown from `pareto_smooth()` options and individual `pareto_khat()`-family functions (1.6.0) through `pit()` for draws and rvars (1.6.1) to exported generalized-Pareto functions and `pareto_pit` (1.7.0). 1.7.1 is a paperwork release for a JOSS submission.
◆ Where it's heading
posterior is positioning itself as shared infrastructure rather than an end-user package: 1.7.0 explicitly exports generalized-Pareto machinery 'for use in other packages', and the JOSS paper is a citation vehicle for the same audience. The rvar work points the same way — a random-variable type other Bayesian packages can build on. Cadence is steady but unhurried, roughly one feature release a year.
◆ Prediction
More diagnostic functions are likely to be exported for downstream reuse, following the pattern 1.7.0 established with the generalized-Pareto helpers.
tidyclust
0.0ANALYTICS
tidyclust just tripled the model types it can fit, and handed finalization back to tune
◆ Current state
tidyclust brings clustering into the tidymodels interface, and 0.3.0 was the release where its model coverage stopped being k-means and hierarchical clustering. DBSCAN and HDBSCAN, Gaussian mixtures, and mean shift all arrived at once as proper clustering specifications. The two releases since have been bug fixes on the metric and sparse-data paths, which is the usual pattern after a large surface addition.
◆ Where it's heading
The package is converging with the rest of tidymodels rather than maintaining a parallel API: finalize_model_tidyclust() and finalize_workflow_tidyclust() are deprecated because tune::finalize_model() and tune::finalize_workflow() now handle cluster_spec objects natively. That removes the last place where clustering needed its own version of a shared verb. With density-based and model-based clustering now present, the interface has to cover model families with genuinely different assumptions than the centroid methods it started with.
◆ Prediction
The recent fixes to cluster_metric_set() labeling and custom-metric authoring suggest evaluation is the current focus, so metrics suited to density-based clusters are the likely next addition.
Alternatives to posterior and tidyclust
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 posterior or tidyclust.
writexl
writexl spent nine years refusing to do formatting, then shipped all of it in 2.0.0.
rgbif
rgbif is steadily pushing users off paged searching and onto real downloads.
rstanarm
rstanarm is community-maintained now, tracking Stan and lme4 rather than adding models.
taxa
taxa started a ground-up rewrite in 2021 and has published almost nothing since.
rotl
rotl's whole release history is keeping name matching honest against a moving taxonomy.
See all posterior alternatives → · See all tidyclust alternatives →
Recent activity from posterior and tidyclust
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agotidyclusttidyclust 0.3.2 fixes k_means() on sparse predictors
- 1mo agotidyclusttidyclust 0.3.1 stops same-named metrics silently merging
- 2mo agoposteriorposterior 1.7.1 released for JOSS paper
- 2mo agotidyclusttidyclust 0.3.0 adds DBSCAN, Gaussian mixture, and mean shift models ⚡
- 3mo agoposteriorposterior 1.7.0 exports generalized-Pareto functions
- 10mo agoposteriorposterior 1.6.1 adds pit() for draws and rvars
- 1y agotidyclusttidyclust 0.2.4 switches distance calculations to philentropy
- 1y agoposteriorposterior 1.6.0 adds Pareto diagnostics and ESS-based thinning
- 2y agotidyclusttidyclust 0.2.3 resolves a clustMixType reverse-dependency issue
- 2y agotidyclusttidyclust 0.2.2 resolves a ClusterR reverse-dependency issue
- 2y agoposteriorposterior 1.5.0 adds nested-Rhat and rvar indexing
- 3y agoposteriorposterior 1.4.0 adds factor and ordered rvar subtypes
Frequently asked questions
What is the difference between posterior and tidyclust?
They serve adjacent needs but don't currently overlap on shipped themes. posterior and tidyclust 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 posterior better than tidyclust?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. posterior and tidyclust 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 posterior?
Top posterior alternatives in Analytics are ranked by recent ship velocity. Browse the "posterior alternatives" section above for the current picks, or visit /alternatives/posterior for the full list with editorial commentary on each.
What are the best alternatives to tidyclust?
Top tidyclust alternatives in Analytics are ranked by recent ship velocity. Browse the "tidyclust alternatives" section above for the current picks, or visit /alternatives/tidyclust for the full list with editorial commentary on each.