fillpattern
Pattern fills for ggplot2, hardened against the ways users write sizes
Comparison · Analytics
atrrr vs brglm2
A side-by-side editorial comparison of atrrr and brglm2 — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
atrrr vs brglm2: at a glance
What is atrrr?
The R client for Bluesky adds a firehose and stops assuming Bluesky is the server
atrrr wraps the AT Protocol for R, covering posting, search, profiles, lists, direct messages and starter packs. The latest release adds an experimental firehose implementation and allows connecting to personal data servers other than Bluesky's — Eurosky is the example given. Earlier releases built out the posting surface: videos, multiple images, link preview cards, hashtags, and ggplot2 objects posted directly.
What is brglm2?
A bias-reduction package reaches 1.0 by adding an estimator built for high-dimensional logistic regression
brglm2 fits generalized linear models using mean and median bias reduction rather than plain maximum likelihood, which matters most when ML estimates are infinite or badly biased. The 0.7-0.9 line broadened coverage — negative binomial via brnb(), ordinal superiority measures, the expo() method for exponentiated parameters, add1()/drop1() so step() stops silently producing nonsense. Version 1.0.0 in August 2025 added mdyplFit(), estimating logistic regression by maximum Diaconis-Ylvisaker prior penalized likelihood with optional high-dimensional corrections. The two releases since have tuned that new path.
atrrr vs brglm2: editorial side-by-side
atrrr
0.0ANALYTICS
The R client for Bluesky adds a firehose and stops assuming Bluesky is the server
◆ Current state
atrrr wraps the AT Protocol for R, covering posting, search, profiles, lists, direct messages and starter packs. The latest release adds an experimental firehose implementation and allows connecting to personal data servers other than Bluesky's — Eurosky is the example given. Earlier releases built out the posting surface: videos, multiple images, link preview cards, hashtags, and ggplot2 objects posted directly.
◆ Where it's heading
Two years of work made atrrr a capable REST client for one network. This release starts undoing that second part. The firehose is a different access mode — a stream rather than a request — which is what researchers doing collection at scale need, and PDS-agnosticism means the package addresses the protocol rather than the company. The rest of the changelog is steadily maintenance-shaped: repeated httr2 compatibility work, endpoint changes tracked as they happen.
◆ Prediction
The firehose is labelled experimental, so the next release most likely stabilises it rather than opening another front — though the notes give no detail on what remains unfinished.
brglm2
0.0ANALYTICS
A bias-reduction package reaches 1.0 by adding an estimator built for high-dimensional logistic regression
◆ Current state
brglm2 fits generalized linear models using mean and median bias reduction rather than plain maximum likelihood, which matters most when ML estimates are infinite or badly biased. The 0.7-0.9 line broadened coverage — negative binomial via brnb(), ordinal superiority measures, the expo() method for exponentiated parameters, add1()/drop1() so step() stops silently producing nonsense. Version 1.0.0 in August 2025 added mdyplFit(), estimating logistic regression by maximum Diaconis-Ylvisaker prior penalized likelihood with optional high-dimensional corrections. The two releases since have tuned that new path.
◆ Where it's heading
The package's older work assumed the classical regime where observations comfortably outnumber parameters. mdyplFit() and its hd_correction argument target the opposite case, and the follow-up releases are almost entirely about it — Pearson residuals on original responses, aliased parameter handling, the sloe() signal-strength estimator ignoring leverage-one observations. Meanwhile the older surface gets graceful-failure work: brglm_fit() now returns its latest estimates with warnings rather than aborting.
◆ Prediction
Given that 1.0.1 and 1.1.0 are both dominated by mdyplFit follow-ups while the classical path receives only robustness fixes, further work on high-dimensional corrections is the likeliest direction.
Alternatives to atrrr and brglm2
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 atrrr or brglm2.
gcube
gcube's recent releases are all packaging metadata, not simulation code
cubist
The R port of Quinlan's Cubist gets reproducibility fixes, not new modelling
ggstats
ggstats keeps widening what a coefficient or Likert plot can be
ecodive
ecodive rebuilt itself into a broad diversity-metric library, breaking as it went
simStateSpace
State-space data simulation for R, filled in one function at a time
See all atrrr alternatives → · See all brglm2 alternatives →
Recent activity from atrrr and brglm2
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo agoatrrrExperimental firehose and support for non-Bluesky PDS ⚡
- 3mo agobrglm2brglm2 v1.1.0
- 8mo agobrglm2brglm2 v1.0.1
- 11mo agobrglm21.0.0 adds maximum DY-prior penalized likelihood for logistic regression ⚡
- 1y agobrglm2brglm2 v0.9.3
- 1y agobrglm2brglm2 v0.9.2
- 1y agoatrrrDirect messages and starter-pack queries
- 1y agoatrrrPosting and auth fixes for httr2 1.1.0
- 1y agoatrrrVideo posting, multi-image support, and list retrieval
- 1y agoatrrrLanguage, tag and label options on posts
- 2y agoatrrrPreview cards, hashtags, and direct ggplot2 posting
- 3y agobrglm2brglm2 v0.9.1
Frequently asked questions
What is the difference between atrrr and brglm2?
Both compete on the same themes — r-package — within Analytics. atrrr and brglm2 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 atrrr better than brglm2?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. atrrr and brglm2 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 atrrr?
Top atrrr alternatives in Analytics are ranked by recent ship velocity. Browse the "atrrr alternatives" section above for the current picks, or visit /alternatives/atrrr for the full list with editorial commentary on each.
What are the best alternatives to brglm2?
Top brglm2 alternatives in Analytics are ranked by recent ship velocity. Browse the "brglm2 alternatives" section above for the current picks, or visit /alternatives/brglm2 for the full list with editorial commentary on each.