nflreadr
The nflverse data loader, whose releases are dictated by the NFL calendar and CRAN's archive policy
Comparison · Analytics
brglm2 vs vecvec
A side-by-side editorial comparison of brglm2 and vecvec — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
brglm2 vs vecvec: 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 vecvec?
A vector-of-vectors class swapped its object system mid-flight and came out faster.
vecvec provides an R class that holds multiple vectors as a single logical vector without copying them together, aimed at cases where concatenating would be wasteful. The 1.0.0 rewrite moved the class off vctrs onto S7 while keeping user-facing code working, and added matrix and array behaviour. Recent releases have concentrated on the details that decide whether the abstraction actually saves work: ALTREP vectors surviving intact, subassignment edge cases, and printing that does not materialise what it is describing.
brglm2 vs vecvec: 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.
vecvec
0.0ANALYTICS
A vector-of-vectors class swapped its object system mid-flight and came out faster.
◆ Current state
vecvec provides an R class that holds multiple vectors as a single logical vector without copying them together, aimed at cases where concatenating would be wasteful. The 1.0.0 rewrite moved the class off vctrs onto S7 while keeping user-facing code working, and added matrix and array behaviour. Recent releases have concentrated on the details that decide whether the abstraction actually saves work: ALTREP vectors surviving intact, subassignment edge cases, and printing that does not materialise what it is describing.
◆ Where it's heading
The arc runs from proving the idea to making it cheap. Early releases established constructors and vctrs dispatch; 1.0.0 rebuilt the internals on S7 with a smaller, faster representation and automatic flattening of adjacent compatible vectors; the two releases since have been about not defeating the point — an ALTREP vector flattened on construction or materialised by a print method gives back exactly the memory the class exists to save. Extensibility is the other visible thread, with custom ptype2 and cast methods now registrable and extension packages expected to subclass class_vecvec. The internal index structure is explicitly reserved for future change, so faster special-case representations look planned rather than incidental.
◆ Prediction
The reserved internal structure and the stated intent to accommodate faster variants point at specialised representations for particular vector types next; the entries do not indicate which cases are queued first.
Alternatives to brglm2 and vecvec
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 vecvec.
susier
Fine-mapping workhorse susieR spends its releases hunting null-effect trimming bugs
UCell
A rank-based gene signature scorer that has grown by adapting to whatever object format single-cell R uses next
detectseparation
A diagnostic package that generalized past its own name, then learned to say which kind of separation it found
bayestools
The JAGS toolkit under RoBMA, shipping the standardization machinery its downstream rewrite needed
robma
RoBMA 4.0 tears out its own constructor surface and rebuilds on one class hierarchy
See all brglm2 alternatives → · See all vecvec alternatives →
Recent activity from brglm2 and vecvec
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agovecvecExtension packages can register their own ptype and cast methods
- 1mo agovecvecALTREP vectors survive construction and printing intact
- 3mo agobrglm2brglm2 v1.1.0
- 3mo agovecvecThe class is rebuilt on S7, with a new internal representation ⚡
- 4mo agovecvecMissing value handling fixed for is.na()
- 8mo agobrglm2brglm2 v1.0.1
- 11mo agovecvecArithmetic and per-vector apply arrive
- 11mo agovecvecFirst release: constructors and vctrs dispatch
- 11mo agobrglm21.0.0 adds maximum DY-prior penalized likelihood for logistic regression ⚡
- 1y agobrglm2brglm2 v0.9.3
- 1y agobrglm2brglm2 v0.9.2
- 3y agobrglm2brglm2 v0.9.1
Frequently asked questions
What is the difference between brglm2 and vecvec?
Both compete on the same themes — r-package — within Analytics. brglm2 and vecvec 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 vecvec?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. brglm2 and vecvec 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 vecvec?
Top vecvec alternatives in Analytics are ranked by recent ship velocity. Browse the "vecvec alternatives" section above for the current picks, or visit /alternatives/vecvec for the full list with editorial commentary on each.