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Comparison · Infra & APIs

ggh4x vs logbin

A side-by-side editorial comparison of ggh4x and logbin — release velocity, themes, recent moves, and the top alternatives to consider.

ggh4x vs logbin: at a glance

Featureggh4xlogbin
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, data-visualization, facets, deprecationrelative-risk, log-binomial, glm-compatibility, em-algorithm
Last editorial update2h ago1h ago
WebsiteVisit →Visit →

What is ggh4x?

Handed its axis and legend guides to ggplot2 and legendry, and kept the facets

ggh4x is a set of ggplot2 extensions — nested and manual facets, per-facet scales, forced panel sizes, and statistics such as stat_difference() and stat_rle(). Its guide functions, once a substantial part of the package, are deprecated: 0.3.0 redirected users to ggplot2's own guide arguments and to the legendry package, and 0.3.1 made the deprecated functions return plain equivalents. What remains as this package's own territory is facetting and panel layout.

Read the full ggh4x trajectory →

What is logbin?

Relative-risk regression that converges where glm fails, under an unreadable tag order

logbin fits log-binomial models to estimate relative risk, a fit standard glm frequently fails to converge on because of the constrained parameter space. Its answer is a choice of algorithms — adaptive barrier, combinatorial EM, and expectation-maximisation on an overparameterised model — selected through a method argument and optionally accelerated with turboEM. The most recent release, in April 2025, replaces the variance-covariance calculation in summary.logbin so it matches summary.glm, and adds a testthat suite.

Read the full logbin trajectory →

ggh4x vs logbin: editorial side-by-side

G
ggh4x
INFRA · APIS
0.0

Handed its axis and legend guides to ggplot2 and legendry, and kept the facets

◆ Current state

ggh4x is a set of ggplot2 extensions — nested and manual facets, per-facet scales, forced panel sizes, and statistics such as stat_difference() and stat_rle(). Its guide functions, once a substantial part of the package, are deprecated: 0.3.0 redirected users to ggplot2's own guide arguments and to the legendry package, and 0.3.1 made the deprecated functions return plain equivalents. What remains as this package's own territory is facetting and panel layout.

◆ Where it's heading

The handover was signalled well in advance. Version 0.2.5 set the guides' lifecycle to 'questioning' and said outright they might migrate to a new package once ggplot2 overhauled its guide system, and 0.3.0 executed that eighteen months later. Much of the rest of the changelog is anticipatory compatibility work for upcoming ggplot2 releases, the standing cost of being an extension package. Releases carry playful codenames that say nothing about their contents.

◆ Prediction

The deprecated guide functions are scheduled for removal in the next non-hotfix release, so expect that next; continued work should concentrate on facets and panel sizing, the areas neither ggplot2 nor legendry has absorbed.

L
logbin
INFRA · APIS
0.0

Relative-risk regression that converges where glm fails, under an unreadable tag order

◆ Current state

logbin fits log-binomial models to estimate relative risk, a fit standard glm frequently fails to converge on because of the constrained parameter space. Its answer is a choice of algorithms — adaptive barrier, combinatorial EM, and expectation-maximisation on an overparameterised model — selected through a method argument and optionally accelerated with turboEM. The most recent release, in April 2025, replaces the variance-covariance calculation in summary.logbin so it matches summary.glm, and adds a testthat suite.

◆ Where it's heading

The method work concluded in 2021 and the package has since been aligned with base R conventions rather than extended: the vcov calculation now mirrors glm's, and earlier releases added the contrasts, qr, R and effects components so standard glm S3 methods such as influence() and plot() work on logbin objects. Be warned that the feed's tag order is unusable — versions 2.0, 2.0.1, 2.0.2 and 2.0.4 were all pushed within ninety seconds on 23 July 2021 in non-monotonic order, while 2.0.3 carries a 2017 timestamp and restates 2.0.2's notes. Read the bodies, not the sequence.

◆ Prediction

Expect continued alignment with glm conventions and occasional CRAN maintenance; the algorithm set has been stable for four years and nothing in these entries suggests another is planned.

Alternatives to ggh4x and logbin

Other Infra & APIs 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 ggh4x or logbin.

See all ggh4x alternatives → · See all logbin alternatives →

Recent activity from ggh4x and logbin

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

  1. 1y agoggh4xDeprecated guides now return plain ggplot2 equivalents
  2. 1y agologbinvcov in summary.logbin now matches summary.glm
  3. 1y agoggh4xGuide functions deprecated in favour of ggplot2 and legendry
  4. 2y agoggh4xCRAN note fix and two facet bug fixes
  5. 2y agoggh4xAnticipatory changes for ggplot2 3.5.0
  6. 3y agoggh4xGuides marked 'questioning'; render_empty and panel-area sizing
  7. 3y agoggh4xSemi-discrete manual scales and facet whitespace handling
  8. 5y agologbinFactor reparameterisation fix and faster parameter expansion
  9. 5y agologbinVersion bump to satisfy a CRAN check
  10. 5y agologbinmethod and accelerate options: adaptive barrier, CEM, EM, turboEM
  11. 5y agologbinglm S3 method support via contrasts, qr, R and effects components
  12. 5y agologbinJournal of Statistical Software citation added

Frequently asked questions

What is the difference between ggh4x and logbin?

They serve adjacent needs but don't currently overlap on shipped themes. ggh4x and logbin 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 ggh4x better than logbin?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggh4x and logbin 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 Infra & APIs products to evaluate alongside.

What are the best alternatives to ggh4x?

Top ggh4x alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ggh4x alternatives" section above for the current picks, or visit /alternatives/ggh4x for the full list with editorial commentary on each.

What are the best alternatives to logbin?

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