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Comparison · Infra & APIs
logbin vs vimp
A side-by-side editorial comparison of logbin and vimp — release velocity, themes, recent moves, and the top alternatives to consider.
logbin vs vimp: at a glance
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.
What is vimp?
Algorithm-agnostic variable importance, settled since 2022 and now answering CRAN checks
vimp performs inference on variable importance measures that do not depend on the fitting algorithm, using sample-splitting so tests stay valid under the zero-importance null. The statistical design settled in 2022: predictiveness measures gained their own S3 class, point estimation was decoupled from inference through the final_point_estimate argument, and method and family moved to the outer functions so binary outcomes work. The two 2025 releases are a CRAN documentation fix and an edge-case correction for cutoff-based measures when every prediction is the same value.
logbin vs vimp: editorial side-by-side
logbin
0.0INFRA · APIS
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.
vimp
0.0INFRA · APIS
Algorithm-agnostic variable importance, settled since 2022 and now answering CRAN checks
◆ Current state
vimp performs inference on variable importance measures that do not depend on the fitting algorithm, using sample-splitting so tests stay valid under the zero-importance null. The statistical design settled in 2022: predictiveness measures gained their own S3 class, point estimation was decoupled from inference through the final_point_estimate argument, and method and family moved to the outer functions so binary outcomes work. The two 2025 releases are a CRAN documentation fix and an edge-case correction for cutoff-based measures when every prediction is the same value.
◆ Where it's heading
Substantive development ended in 2022, followed by one narrow addition — a cluster bootstrap for correlated data in 2023 — and two housekeeping releases. What remains visible are careful decisions about the boundary between estimation and inference, including the warning that a Wald interval will not be centred on the point estimate when the full-data or averaged option is used. The maintainer is keeping the package correct and installable rather than extending it.
◆ Prediction
Expect maintenance releases keyed to CRAN check changes; new predictiveness measures are the plausible extension, since the S3 class added in 2.3.0 was introduced specifically to make adding them simpler.
Alternatives to logbin and vimp
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 vimp.
Cursor
Cursor's agents stop waiting to be asked - they subscribe, and they hold a goal until it's done.
incident.io
Nexus does the diagnosis; the agent is now reaching into the status page too.
Warp
Warp turned its quarter of software-factory essays into infrastructure you can buy.
Okta
Okta's developer blog is a Cross App Access campaign, now diluted by advocacy-team storytelling.
tealeaves
A leaf-temperature model that finished its job in 2020 and has stayed finished
Recent activity from logbin and vimp
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 11mo agovimpUpdate PPV, NPV, Sensitivity, Specificity
- 1y agovimpFix documentation NOTEs
- 1y agologbinvcov in summary.logbin now matches summary.glm
- 2y agovimpAdd cluster bootstrap
- 3y agovimpEnhanced VIM point estimation
- 3y agovimpS3 class for predictiveness measures
- 4y agovimpSpecify 'method' and 'family' in outer functions
- 5y agologbinFactor reparameterisation fix and faster parameter expansion
- 5y agologbinVersion bump to satisfy a CRAN check
- 5y agologbinmethod and accelerate options: adaptive barrier, CEM, EM, turboEM
- 5y agologbinglm S3 method support via contrasts, qr, R and effects components
- 5y agologbinJournal of Statistical Software citation added
Frequently asked questions
What is the difference between logbin and vimp?
They serve adjacent needs but don't currently overlap on shipped themes. logbin and vimp 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 vimp?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. logbin and vimp 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 vimp?
Top vimp alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "vimp alternatives" section above for the current picks, or visit /alternatives/vimp for the full list with editorial commentary on each.