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Comparison · Infra & APIs

logbin vs svrep

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

logbin vs svrep: at a glance

Featurelogbinsvrep
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesrelative-risk, log-binomial, glm-compatibility, em-algorithmsurvey-statistics, replicate-weights, variance-estimation, bootstrap
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 svrep?

Steadily absorbing every replicate-weight method the survey literature has to offer

svrep is a broad implementation of replication-based variance estimation for complex surveys, covering the generalized bootstrap, Fay's generalized replication, successive difference replication and the random-groups jackknife. The last two years added methods quickly: the Antal-Tille doubled half bootstrap, the Beaumont-Emond and kernel-based BOSB variance estimators, and optional torch-backed computation of replicate weights. Version 0.9.0 tightened the package boundary, promoting 'survey' from Imports to Depends and deleting the long-deprecated rescale_reps().

Read the full svrep trajectory →

logbin vs svrep: 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
svrep
INFRA · APIS
0.0

Steadily absorbing every replicate-weight method the survey literature has to offer

◆ Current state

svrep is a broad implementation of replication-based variance estimation for complex surveys, covering the generalized bootstrap, Fay's generalized replication, successive difference replication and the random-groups jackknife. The last two years added methods quickly: the Antal-Tille doubled half bootstrap, the Beaumont-Emond and kernel-based BOSB variance estimators, and optional torch-backed computation of replicate weights. Version 0.9.0 tightened the package boundary, promoting 'survey' from Imports to Depends and deleting the long-deprecated rescale_reps().

◆ Where it's heading

The recent arc is consolidation rather than expansion. 0.9.0 removed a deprecated function, added accessors and refactored for memory, while 0.9.1 exists only to answer a Journal of Statistical Software review. That submission explains the shape of the changelog: the API is being frozen and documented rather than extended. Method coverage is broad enough that additions are now gap-fills for particular sampling designs.

◆ Prediction

Expect the next releases to track the JSS review through to publication with documentation and output-structure tidying, and any new estimator to arrive only when an issue or reviewer asks for a specific design.

Alternatives to logbin and svrep

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 svrep.

See all logbin alternatives → · See all svrep alternatives →

Recent activity from logbin and svrep

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

  1. 10mo agosvrepDocumentation and output tidying for JSS review
  2. 11mo agosvrep'survey' moves to Depends; deprecated rescale_reps() removed
  3. 1y agosvrepAntal-Tille doubled half bootstrap added
  4. 1y agologbinvcov in summary.logbin now matches summary.glm
  5. 1y agosvrepSuccessive difference replication, kernel variance estimator, optional torch backend
  6. 2y agosvrepHelpers to shuffle, subsample and pad replicate columns
  7. 2y agosvrepVersion bump for CRAN check failures
  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 svrep?

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

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

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