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A side-by-side editorial comparison of logbin and volcalc — release velocity, themes, recent moves, and the top alternatives to consider.
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.
Rebuilt itself around SMILES and .mol input, then made the chemistry configurable
volcalc estimates the volatility of chemical compounds from their structure, implementing the SIMPOL.1 group-contribution method and the Meredith et al. variant. Version 2.0.0 severed the package from KEGG: calc_vol() takes .mol file paths or SMILES strings directly, is vectorized over multiple compounds, and the group-contribution maths was split into its own simpol1() function. Work since has been chemistry accuracy and configurability — the full set of SIMPOL.1 functional groups, volatility thresholds for clean atmosphere, polluted atmosphere or soil, user-supplied temperature, and a validate option returning NA when structure parsing looks suspect.
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.
volcalc estimates the volatility of chemical compounds from their structure, implementing the SIMPOL.1 group-contribution method and the Meredith et al. variant. Version 2.0.0 severed the package from KEGG: calc_vol() takes .mol file paths or SMILES strings directly, is vectorized over multiple compounds, and the group-contribution maths was split into its own simpol1() function. Work since has been chemistry accuracy and configurability — the full set of SIMPOL.1 functional groups, volatility thresholds for clean atmosphere, polluted atmosphere or soil, user-supplied temperature, and a validate option returning NA when structure parsing looks suspect.
The arc runs from a script tied to one database toward a general structure-to-volatility tool. Dropping KEGG from the core in 2.0.0, then removing KEGGREST as a dependency entirely in 2.2.0, took the package from volatility for KEGG compounds to volatility for any structure a user can supply. The accompanying manuscript published in 2023, and the changelog since has been careful about coefficient double-counting — amines and amides have each been corrected — which suggests the group definitions are the part under active scrutiny.
The smarts_simpol1 dataset added in 2.2.0 documents how functional groups are defined, pointing toward further estimation methods alongside SIMPOL.1 and Meredith; splitting simpol1() out in 2.0.0 was stated to be groundwork for exactly that.
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 logbin or volcalc.
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See all logbin alternatives → · See all volcalc alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. logbin and volcalc 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. logbin and volcalc 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 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.
Top volcalc alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "volcalc alternatives" section above for the current picks, or visit /alternatives/volcalc for the full list with editorial commentary on each.