← Back to home
Comparison · Infra & APIs

logbin vs MIC

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

logbin vs MIC: at a glance

FeaturelogbinMIC
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesrelative-risk, log-binomial, glm-compatibility, em-algorithmantimicrobial-resistance, clinical-microbiology, censored-data, method-validation
Last editorial update1h ago2h ago
WebsiteVisit →Visit →

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 →

What is MIC?

An antimicrobial testing package cut its genomic half loose to become one thing well.

MIC analyses and validates antimicrobial minimum inhibitory concentration data. Version 2.0.0 removed every genomic function and ported them to a separate package, faLearn, leaving MIC focused on concentration analysis and method validation. The result needs fewer dependencies and no longer requires compilation, which is a meaningful install-time change for a clinical microbiology audience.

Read the full MIC trajectory →

logbin vs MIC: editorial side-by-side

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.

M
MIC
INFRA · APIS
0.0

An antimicrobial testing package cut its genomic half loose to become one thing well.

◆ Current state

MIC analyses and validates antimicrobial minimum inhibitory concentration data. Version 2.0.0 removed every genomic function and ported them to a separate package, faLearn, leaving MIC focused on concentration analysis and method validation. The result needs fewer dependencies and no longer requires compilation, which is a meaningful install-time change for a clinical microbiology audience.

◆ Where it's heading

The split was announced a release before it happened, with the genomic functions deprecated in 1.2.0 and the destination named. Around that, the substantive work has been on censoring: MIC values are reported with inequality signs, and 1.1.0 then 1.2.0 built out increasingly precise handling of them, separating less-than-or-equal from strictly-less-than and adding tolerance arguments to the comparison and agreement functions. That is the package's real subject matter, and shedding the genomic code is what makes room for it.

◆ Prediction

With the scope settled, expect continued work on validation semantics and on the AMR package interoperability the notes already track. The relationship between MIC and faLearn is the thing to watch, since users of the removed functions now have to install both.

Alternatives to logbin and MIC

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 MIC.

See all logbin alternatives → · See all MIC alternatives →

Recent activity from logbin and MIC

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

  1. 8mo agoMICGenomic functions removed and ported to faLearn
  2. 9mo agoMICGenomic functions deprecated; censoring distinguishes leq and geq
  3. 1y agoMICessential_agreement rebuilt around explicit censoring control
  4. 1y agologbinvcov in summary.logbin now matches summary.glm
  5. 5y agologbinFactor reparameterisation fix and faster parameter expansion
  6. 5y agologbinVersion bump to satisfy a CRAN check
  7. 5y agologbinmethod and accelerate options: adaptive barrier, CEM, EM, turboEM
  8. 5y agologbinglm S3 method support via contrasts, qr, R and effects components
  9. 5y agologbinJournal of Statistical Software citation added

Frequently asked questions

What is the difference between logbin and MIC?

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

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. logbin and MIC 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 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.

What are the best alternatives to MIC?

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