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A side-by-side editorial comparison of ethiodate and logbin — release velocity, themes, recent moves, and the top alternatives to consider.
The Ethiopian calendar becomes a first-class R date class, ggplot2 axes included.
ethiodate implements the Ethiopian calendar as an R date class. Over three releases it has gone from conversion helpers to something that behaves like a date type: ggplot2 scales and breaks, quarter extraction, and seq() and cut() methods defined for the ethdate class. The most recent release is a robustness fix for summary.ethdate() under R 4.6.0 and later.
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.
ethiodate implements the Ethiopian calendar as an R date class. Over three releases it has gone from conversion helpers to something that behaves like a date type: ggplot2 scales and breaks, quarter extraction, and seq() and cut() methods defined for the ethdate class. The most recent release is a robustness fix for summary.ethdate() under R 4.6.0 and later.
The work follows the standard path for a custom date class in R: get the arithmetic right, then implement the generics the rest of the ecosystem calls, then handle vector recycling and precision. Switching internal storage from integer to double in 0.3.0 is a quiet but load-bearing change, and accepting numeric months widens the input surface. Each release closes another gap between ethdate and Date.
Expect the remaining base generics and formatting paths to be filled in, and continued fixes tracking R's own changes. The package is close enough to full coverage that the next releases will mostly be about edge cases.
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.
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.
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.
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 ethiodate or logbin.
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See all ethiodate alternatives → · See all logbin alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. ethiodate 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ethiodate 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.
Top ethiodate alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ethiodate alternatives" section above for the current picks, or visit /alternatives/ethiodate for the full list with editorial commentary on each.
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.