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Comparison · Infra & APIs

forestTIME vs logbin

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

forestTIME vs logbin: at a glance

FeatureforestTIMElogbin
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesforest-inventory, carbon-estimation, fia-data, interpolationrelative-risk, log-binomial, glm-compatibility, em-algorithm
Last editorial update2h ago58m ago
WebsiteVisit →Visit →

What is forestTIME?

A forest-inventory pipeline grew the strata machinery it needs to make population estimates.

forestTIME turns US Forest Inventory and Analysis data into annualized carbon and biomass estimates by interpolating between the years each plot is actually measured. Version 2.2.0 adds fia_assign_strata(), which matches every plot-year to an EVALID, estimation unit and stratum along with the values needed for population-level estimation with variance. The composite ID scheme also changed order, which breaks joins written against the old one.

Read the full forestTIME 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 →

forestTIME vs logbin: editorial side-by-side

F
forestTIME
INFRA · APIS
0.0

A forest-inventory pipeline grew the strata machinery it needs to make population estimates.

◆ Current state

forestTIME turns US Forest Inventory and Analysis data into annualized carbon and biomass estimates by interpolating between the years each plot is actually measured. Version 2.2.0 adds fia_assign_strata(), which matches every plot-year to an EVALID, estimation unit and stratum along with the values needed for population-level estimation with variance. The composite ID scheme also changed order, which breaks joins written against the old one.

◆ Where it's heading

The arc runs from a duckDB-backed script to a package with a design-based estimation story. First the database layer was removed in favour of a single interpolated table; then the function surface was consolidated behind fia_ names and fia_annualize(); then expansion factors appeared; now the stratification the FIA estimators actually require. Each step moves closer to producing estimates users can put an error bar on rather than interpolated numbers.

◆ Prediction

The notes name a temporary workaround for woodland species, whose carbon and biomass code is missing, and say fia_estimate() will eventually handle them directly. That, plus variance calculation built on the new strata columns, is the visible next work.

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 forestTIME 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 forestTIME or logbin.

See all forestTIME alternatives → · See all logbin alternatives →

Recent activity from forestTIME and logbin

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

  1. 6mo agoforestTIMEStrata assignment opens the door to population-level estimates
  2. 11mo agoforestTIMERenamed from forestTIME.builder, adds expansion factors
  3. 1y agoforestTIMEFunction surface consolidated behind fia_ names
  4. 1y agoforestTIMEInterpolation stops producing impossible trees
  5. 1y agoforestTIMEduckDB dropped for a single interpolated table
  6. 1y agologbinvcov in summary.logbin now matches summary.glm
  7. 1y agoforestTIMESnapshot before carbon estimation existed
  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 forestTIME and logbin?

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

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

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