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calculus vs logbin

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

calculus vs logbin: at a glance

Featurecalculuslogbin
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themessymbolic-computation, numerical-calculus, complex-numbers, jssrelative-risk, log-binomial, glm-compatibility, em-algorithm
Last editorial update2h ago2h ago
WebsiteVisit →Visit →

What is calculus?

A published calculus engine whose last two years produced one overloaded method

calculus provides high-dimensional numerical and symbolic calculus in R — differentiation, integration, tensor operations and, since the 0.3.0 restructure, ordinary differential equations. It was published in the Journal of Statistical Software in 2022, which is the event the 1.0.0 release records rather than any code change. Since then it has produced two releases: a documentation site move, and in July 2025 an overload of is.numeric to include complex numbers.

Read the full calculus 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 →

calculus vs logbin: editorial side-by-side

C
calculus
INFRA · APIS
0.0

A published calculus engine whose last two years produced one overloaded method

◆ Current state

calculus provides high-dimensional numerical and symbolic calculus in R — differentiation, integration, tensor operations and, since the 0.3.0 restructure, ordinary differential equations. It was published in the Journal of Statistical Software in 2022, which is the event the 1.0.0 release records rather than any code change. Since then it has produced two releases: a documentation site move, and in July 2025 an overload of is.numeric to include complex numbers.

◆ Where it's heading

The release history divides cleanly at the JSS publication. Everything before it is development plus the CRAN and pre-review fixes needed to get there; everything after is incidental. The complex-number overload fits the package's positioning around symbolic and high-dimensional work, where complex values arise naturally, but it is one method and the notes say nothing more.

◆ Prediction

Expect releases only when a CRAN check or a downstream dependency forces one; nothing in these entries points to planned additions to the numerical or symbolic engines.

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 calculus 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 calculus or logbin.

See all calculus alternatives → · See all logbin alternatives →

Recent activity from calculus and logbin

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

  1. 1y agocalculusis.numeric overloaded to accept complex numbers
  2. 1y agologbinvcov in summary.logbin now matches summary.glm
  3. 3y agocalculusDocumentation site moved to a new domain
  4. 3y agocalculusJournal of Statistical Software publication recorded
  5. 4y agocalculusCRAN check fixes; CI moved to GitHub Actions
  6. 5y agologbinFactor reparameterisation fix and faster parameter expansion
  7. 5y agologbinVersion bump to satisfy a CRAN check
  8. 5y agologbinmethod and accelerate options: adaptive barrier, CEM, EM, turboEM
  9. 5y agologbinglm S3 method support via contrasts, qr, R and effects components
  10. 5y agologbinJournal of Statistical Software citation added
  11. 5y agocalculusCRAN check and JSS pre-review fixes
  12. 5y agocalculusPackage restructured; ordinary differential equations added

Frequently asked questions

What is the difference between calculus and logbin?

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

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

Top calculus alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "calculus alternatives" section above for the current picks, or visit /alternatives/calculus 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.