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brglm2 vs condformat

A side-by-side editorial comparison of brglm2 and condformat — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

brglm2 vs condformat: at a glance

Featurebrglm2condformat
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, regression, bias-reduction, high-dimensionalr-package, table-formatting, test-coverage, maintenance-debt
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

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.

Read the full brglm2 trajectory →

What is condformat?

A dormant table-formatting package woken by a 20-PR correctness and coverage sweep

condformat applies conditional formatting rules to R data frames and renders them to HTML, LaTeX, Excel and grob output. After 0.10.1 in 2023 it went quiet for nearly three years. Version 0.11.0 breaks that silence with a single-maintainer sweep of roughly twenty pull requests: CI modernized across R-devel, release and oldrel; lockcells fixed for LaTeX and grob output; a rule_fill_bar() crash at zero width; theme_htmlTable() no longer dropping chained arguments; and a .col pronoun added across all rules.

Read the full condformat trajectory →

brglm2 vs condformat: editorial side-by-side

B
brglm2
ANALYTICS
0.0

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.

C
condformat
ANALYTICS
0.0

A dormant table-formatting package woken by a 20-PR correctness and coverage sweep

◆ Current state

condformat applies conditional formatting rules to R data frames and renders them to HTML, LaTeX, Excel and grob output. After 0.10.1 in 2023 it went quiet for nearly three years. Version 0.11.0 breaks that silence with a single-maintainer sweep of roughly twenty pull requests: CI modernized across R-devel, release and oldrel; lockcells fixed for LaTeX and grob output; a rule_fill_bar() crash at zero width; theme_htmlTable() no longer dropping chained arguments; and a .col pronoun added across all rules.

◆ Where it's heading

This is a maintenance-debt payoff rather than a change of direction. The bulk of 0.11.0 is test coverage — render_gtable, knit_print, theme_grob, render_xlsx and rule_fill_bar all gained tests — which reads as a maintainer establishing a safety net before touching anything further. The .col pronoun and scalar recycling in the text rules are the only real API additions, and both smooth inconsistencies rather than extend the rule vocabulary.

◆ Prediction

With coverage and CI now in place, the next release is more likely to extend rule or output-format support than to continue with fixes, though the three-year gap makes cadence hard to call from these entries alone.

Alternatives to brglm2 and condformat

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 condformat.

See all brglm2 alternatives → · See all condformat alternatives →

Recent activity from brglm2 and condformat

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1mo agocondformatEnds a three-year gap with a 20-PR fix and coverage sweep
  2. 3mo agobrglm2brglm2 v1.1.0
  3. 8mo agobrglm2brglm2 v1.0.1
  4. 11mo agobrglm21.0.0 adds maximum DY-prior penalized likelihood for logistic regression
  5. 1y agobrglm2brglm2 v0.9.3
  6. 1y agobrglm2brglm2 v0.9.2
  7. 2y agocondformatDocumentation fixes and internal S3 method registration
  8. 3y agobrglm2brglm2 v0.9.1
  9. 3y agocondformatcondformat2grob() gains a draw argument for composite figures
  10. 6y agocondformatDrops the lazyeval API and replaces xlsx with openxlsx
  11. 7y agocondformatAdds bar, bold and color rules plus grob rendering
  12. 8y agocondformatIntroduces the tidy-evaluation API alongside the old one

Frequently asked questions

What is the difference between brglm2 and condformat?

Both compete on the same themes — r-package — within Analytics. brglm2 and condformat 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 condformat?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. brglm2 and condformat 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 condformat?

Top condformat alternatives in Analytics are ranked by recent ship velocity. Browse the "condformat alternatives" section above for the current picks, or visit /alternatives/condformat for the full list with editorial commentary on each.