rnaturalearth
rnaturalearth finished its sp exit and is now optimising how the data actually arrives.
Comparison · Analytics
bayestestR vs rotl
A side-by-side editorial comparison of bayestestR and rotl — release velocity, themes, recent moves, and the top alternatives to consider.
bayestestR vs rotl: at a glance
What is bayestestR?
Bayesian diagnostics get stricter defaults while the Stan backend list widens
bayestestR is the diagnostics and hypothesis-testing layer of the easystats stack, and its recent releases have concentrated on two things: reporting the right uncertainty numbers by default, and accepting posterior draws from more sources. The 0.18.x line added CmdStanFit support alongside the existing rstanarm/brms paths and switched effective-sample-size reporting to tail-ESS. Bug-fix releases in between are mostly CRAN-check maintenance.
What is rotl?
rotl's whole release history is keeping name matching honest against a moving taxonomy.
Nearly every entry concerns `tnrs_match_names()`, the function that maps user-supplied names onto Open Tree taxonomy ids. 3.1.0 changed which taxon wins a multi-way match — highest matching score rather than lowest OTT id, reversing the rule 3.0.4 introduced. 3.0.12 defaulted `context_name` to 'All life' so a context inferred from the first name could not silently skew later ones. 3.0.11 made a total failure to match return an empty tibble with a warning instead of an error. The rest are small fixes tracking Open Tree API changes.
bayestestR vs rotl: editorial side-by-side
bayestestR
0.0ANALYTICS
Bayesian diagnostics get stricter defaults while the Stan backend list widens
◆ Current state
bayestestR is the diagnostics and hypothesis-testing layer of the easystats stack, and its recent releases have concentrated on two things: reporting the right uncertainty numbers by default, and accepting posterior draws from more sources. The 0.18.x line added CmdStanFit support alongside the existing rstanarm/brms paths and switched effective-sample-size reporting to tail-ESS. Bug-fix releases in between are mostly CRAN-check maintenance.
◆ Where it's heading
The package is converging on a single posture: work with raw MCMC draws from anywhere, and report the diagnostic that actually governs the interval being shown. Successive releases have swapped defaults rather than added surface area, and the efficiency work in 0.16.x aimed squarely at large brms and rstanarm fits. Output formatting is drifting toward the shared easystats display() and tinytable path.
◆ Prediction
Expect continued backend coverage on the Stan side and further alignment of print/display behavior with insight and the rest of easystats; the entries do not show a push into new inference methods.
rotl
0.0ANALYTICS
rotl's whole release history is keeping name matching honest against a moving taxonomy.
◆ Current state
Nearly every entry concerns `tnrs_match_names()`, the function that maps user-supplied names onto Open Tree taxonomy ids. 3.1.0 changed which taxon wins a multi-way match — highest matching score rather than lowest OTT id, reversing the rule 3.0.4 introduced. 3.0.12 defaulted `context_name` to 'All life' so a context inferred from the first name could not silently skew later ones. 3.0.11 made a total failure to match return an empty tibble with a warning instead of an error. The rest are small fixes tracking Open Tree API changes.
◆ Where it's heading
The recurring problem is ambiguity: names match several taxa, and the package has changed its tie-breaking rule twice while making failures and edge cases return predictable objects rather than errors. Nothing here expands what rotl can retrieve; it makes what it retrieves reproducible. The feed also stops in mid-2023, so the package appears dormant.
◆ Prediction
Nothing in the window suggests new capability. If a release comes, the pattern says it will follow an Open Tree API change or another matching-behaviour correction.
Alternatives to bayestestR and rotl
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 bayestestR or rotl.
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.
taxize
taxize spends its releases absorbing other people's API changes, one dead source at a time.
See all bayestestR alternatives → · See all rotl alternatives →
Recent activity from bayestestR and rotl
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo agobayestestRmcse() gains a centrality argument
- 2mo agobayestestRCmdStanFit support and tail-ESS as the default diagnostic
- 11mo agobayestestRrope() gains complement probabilities; display() methods added
- 1y agobayestestRdescribe_posterior() efficiency and multinomial handling
- 1y agobayestestReffects argument changes behavior for large brms/rstanarm fits
- 1y agobayestestRTail ESS returned from effective_sample() and its callers
- 3y agorotlrotl 3.1.0 matches on score instead of lowest OTT id
- 4y agorotlrotl 3.0.12 defaults matching context to All life
- 5y agorotlrotl 3.0.11 returns empty tibble when no names match
- 6y agorotlrotl 3.0.10 tracks Open Tree API updates
- 7y agorotlrotl 3.0.9 tracks Open Tree API updates
- 7y agorotlrotl 3.0.7 updates vignette for TNRS endpoint change
Frequently asked questions
What is the difference between bayestestR and rotl?
They serve adjacent needs but don't currently overlap on shipped themes. bayestestR and rotl 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 bayestestR better than rotl?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. bayestestR and rotl 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 bayestestR?
Top bayestestR alternatives in Analytics are ranked by recent ship velocity. Browse the "bayestestR alternatives" section above for the current picks, or visit /alternatives/bayestestr for the full list with editorial commentary on each.
What are the best alternatives to rotl?
Top rotl alternatives in Analytics are ranked by recent ship velocity. Browse the "rotl alternatives" section above for the current picks, or visit /alternatives/rotl for the full list with editorial commentary on each.