rollama
rollama turns a local-LLM wrapper into an instrument for reproducible annotation
Comparison · Analytics
brglm2 vs rATTAINS
A side-by-side editorial comparison of brglm2 and rATTAINS — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
brglm2 vs rATTAINS: at a glance
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.
What is rATTAINS?
The R client for EPA water quality data spent two releases undoing its own promises about data shape.
rATTAINS wraps the EPA's ATTAINS API, which holds state water quality assessments and impaired-waters listings. The package reached 1.0.0 by promising stable, consistently rectangled return structures, then walked that promise back in 1.1.0 when it dropped the dependency doing the rectangling. As of 1.2.0 it also requires an API key, because ATTAINS itself began requiring one in May 2026.
brglm2 vs rATTAINS: editorial side-by-side
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.
rATTAINS
0.0ANALYTICS
The R client for EPA water quality data spent two releases undoing its own promises about data shape.
◆ Current state
rATTAINS wraps the EPA's ATTAINS API, which holds state water quality assessments and impaired-waters listings. The package reached 1.0.0 by promising stable, consistently rectangled return structures, then walked that promise back in 1.1.0 when it dropped the dependency doing the rectangling. As of 1.2.0 it also requires an API key, because ATTAINS itself began requiring one in May 2026.
◆ Where it's heading
The direction is toward a thinner, lower-maintenance wrapper. Caching went in 0.1.4 when hoardr was archived, tidyjson and janitor went earlier, tibblify went in 1.1.0, and each removal handed a little more data-shaping responsibility back to the user — the current advice is to pass .unnest = FALSE and rectangle the results with whatever tidying package you prefer. Release cadence is slow and mostly reactive: upstream API terms, archived dependencies, and compatibility with test tooling account for most of the log. The package's centre of gravity is staying installable and honest about what ATTAINS returns rather than smoothing it over.
◆ Prediction
Given the pattern, the next release is likelier to be a compatibility or upstream-driven fix than new endpoint coverage; how the API key requirement affects users in scripted and CI contexts is the obvious open question the entries do not yet answer.
Alternatives to brglm2 and rATTAINS
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 brglm2 or rATTAINS.
ggmapinset
A ggplot2 inset-map extension that is now infrastructure for other packages
hoopr
hoopR rebuilds its HTTP layer on httr2 to stop segfaulting on modern systems
nswgeo
NSW boundary data for R, refreshed as the official sources move
impIndicator
Biodiversity impact indicators settle their vocabulary before 1.0
dynwrap
A dormant trajectory-inference wrapper wakes up for maintenance only
See all brglm2 alternatives → · See all rATTAINS alternatives →
Recent activity from brglm2 and rATTAINS
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agorATTAINSATTAINS now requires an API key, and the package follows
- 3mo agobrglm2brglm2 v1.1.0
- 8mo agorATTAINSThe tibblify dependency goes, and with it the stable data shapes ⚡
- 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 agorATTAINSTest suite updated for vcr v2
- 3y agorATTAINS1.0.0 commits to stable return structures via tibblify
- 3y agobrglm2brglm2 v0.9.1
- 3y agorATTAINSCaching removed after hoardr was archived
- 4y agorATTAINSRequests retry on timeout, with offline detection
Frequently asked questions
What is the difference between brglm2 and rATTAINS?
Both compete on the same themes — r-package — within Analytics. brglm2 and rATTAINS 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 brglm2 better than rATTAINS?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. brglm2 and rATTAINS 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 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.
What are the best alternatives to rATTAINS?
Top rATTAINS alternatives in Analytics are ranked by recent ship velocity. Browse the "rATTAINS alternatives" section above for the current picks, or visit /alternatives/rattains for the full list with editorial commentary on each.