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Comparison · Infra & APIs

logbin vs squat

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

logbin vs squat: at a glance

Featurelogbinsquat
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesrelative-risk, log-binomial, glm-compatibility, em-algorithmquaternions, functional-data, rotation, clustering
Last editorial update58m 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 squat?

Quaternion time series got their own statistics package, and it is still filling in the toolbox.

squat treats a sequence of rotations as a statistical object: quaternion time series with means, medians, distances, principal components and clustering defined on them rather than on the raw coordinates. Version 0.5.0 adds derived representations, turning a QTS into a smooth b-spline curve or into angular velocity and acceleration. The release cadence is roughly annual.

Read the full squat trajectory →

logbin vs squat: 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.

S
squat
INFRA · APIS
0.0

Quaternion time series got their own statistics package, and it is still filling in the toolbox.

◆ Current state

squat treats a sequence of rotations as a statistical object: quaternion time series with means, medians, distances, principal components and clustering defined on them rather than on the raw coordinates. Version 0.5.0 adds derived representations, turning a QTS into a smooth b-spline curve or into angular velocity and acceleration. The release cadence is roughly annual.

◆ Where it's heading

Each release has added either a representation or a way to compare series. First the class and the core statistical methods, then clustering algorithms and distance matrices, then quaternion algebra and axis-angle conversion, then rotation-invariant elastic distance and roll-pitch-yaw. The package is broadening the input side, so that data arriving in any of the usual rotation encodings can enter the same analysis. Dependency reduction runs alongside, with purrr and furrr swapped out for base and future.apply.

◆ Prediction

Given the pattern, the next additions are most likely further transformations and distances rather than new inference machinery. The tight coupling to fdacluster, which the notes repeatedly adapt to, means that package's API is the main external constraint on timing.

Alternatives to logbin and squat

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 squat.

See all logbin alternatives → · See all squat alternatives →

Recent activity from logbin and squat

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

  1. 7mo agosquatSmoothing, angular velocity and acceleration transforms added
  2. 1y agosquatRotation-invariant elastic distance and roll-pitch-yaw support
  3. 1y agologbinvcov in summary.logbin now matches summary.glm
  4. 2y agosquatQuaternion algebra and axis-angle conversion added
  5. 3y agosquatFence robustification option and correct tangent spaces
  6. 3y agosquatHierarchical and DBSCAN clustering join k-means
  7. 3y agosquatFirst API defines quaternion time series as a statistical object
  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 logbin and squat?

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

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

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