fillpattern
Pattern fills for ggplot2, hardened against the ways users write sizes
A side-by-side editorial comparison of brglm2 and yahoofinancer — release velocity, themes, recent moves, and the top alternatives to consider.
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.
A Yahoo Finance client that spent four years chasing API drift before adding bulk retrieval
yahoofinancer wraps the Yahoo Finance API for R. Its first four releases are almost entirely repair work: 0.2.0 existed only to absorb upstream API changes, 0.3.0 and 0.4.0 fixed row mismatches, a wrong quote endpoint, a broken options call, and valuation columns returning identical values. Version 0.5.0 in June 2026 is the first release to add capability rather than restore it, introducing a Tickers class that fetches pricing, valuation and history for a vector of symbols in one call.
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.
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.
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.
yahoofinancer wraps the Yahoo Finance API for R. Its first four releases are almost entirely repair work: 0.2.0 existed only to absorb upstream API changes, 0.3.0 and 0.4.0 fixed row mismatches, a wrong quote endpoint, a broken options call, and valuation columns returning identical values. Version 0.5.0 in June 2026 is the first release to add capability rather than restore it, introducing a Tickers class that fetches pricing, valuation and history for a vector of symbols in one call.
The package is moving from single-asset lookups to portfolio-scale retrieval, and doing so without disturbing the existing path — the original Ticker class stays for single-asset deep dives while Tickers handles bulk. That parallel-class approach avoids a breaking change, but it means the package now carries two object models for the same data. The dependence on an undocumented upstream API remains the structural risk: two of the five releases here exist purely because Yahoo changed something.
Further breakage-driven patches are the safest expectation given the history, with any new work likely extending the Tickers class to the remaining single-ticker endpoints.
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 yahoofinancer.
Pattern fills for ggplot2, hardened against the ways users write sizes
gcube's recent releases are all packaging metadata, not simulation code
The R port of Quinlan's Cubist gets reproducibility fixes, not new modelling
ggstats keeps widening what a coefficient or Likert plot can be
ecodive rebuilt itself into a broad diversity-metric library, breaking as it went
State-space data simulation for R, filled in one function at a time
See all brglm2 alternatives → · See all yahoofinancer alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. brglm2 and yahoofinancer 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. brglm2 and yahoofinancer 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.
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.
Top yahoofinancer alternatives in Analytics are ranked by recent ship velocity. Browse the "yahoofinancer alternatives" section above for the current picks, or visit /alternatives/yahoofinancer for the full list with editorial commentary on each.