cIRT
A choice-based IRT model published once in 2019 and kept compiling ever since
A side-by-side editorial comparison of hubExamples and momentuHMM — release velocity, themes, recent moves, and the top alternatives to consider.
Example data for the hubverse, moving whenever the standards it demonstrates move.
hubExamples ships the reference datasets that hubverse vignettes and downstream packages use to demonstrate forecast and target data. Its releases track the hubverse specification rather than any independent roadmap: 1.0.0 exists because the target time series standard changed, and 0.1.0 because the oracle output terminology did. The current release, 1.0.1, is a single fix for column deserialisation on systems without arrow.
The animal-movement HMM workhorse, feature-frozen since 2021 and coasting on compiler patches
momentuHMM fits hidden Markov models to animal telemetry — multiple data streams, measurement error, temporally irregular tracks, hierarchical and mixture structures. It is one of the reference implementations in movement ecology and is cited as such. Its capability set has been essentially fixed since 2021; the last four years of releases are compiler, dependency and CRAN metadata work.
hubExamples ships the reference datasets that hubverse vignettes and downstream packages use to demonstrate forecast and target data. Its releases track the hubverse specification rather than any independent roadmap: 1.0.0 exists because the target time series standard changed, and 0.1.0 because the oracle output terminology did. The current release, 1.0.1, is a single fix for column deserialisation on systems without arrow.
This is a downstream member of the hubverse package family, alongside hubUtils, hubData and hubValidations, and it moves when they define something new. The pattern across all four entries is the same: a standard changes upstream, hubExamples updates its data objects and vignettes to match. Sibling package hubAdmin has not shipped since November 2025, so the cohort is not currently in a coordinated wave.
The next release will most likely follow the next hubverse data-standard revision rather than lead it.
momentuHMM fits hidden Markov models to animal telemetry — multiple data streams, measurement error, temporally irregular tracks, hierarchical and mixture structures. It is one of the reference implementations in movement ecology and is cited as such. Its capability set has been essentially fixed since 2021; the last four years of releases are compiler, dependency and CRAN metadata work.
The development arc peaked with 1.5.0 in 2019, which brought hierarchical HMMs, discrete individual random effects and multivariate normal data streams, and effectively closed with 1.5.4 in 2021. What follows is a maintenance tail driven entirely by other people's changes: RcppArmadillo deprecating a function, Brobdingnag unexporting one, crawl dropping an import, CRAN asking for metadata edits. The package is stable in the sense that matters to its users and dormant in the sense that matters to its roadmap.
On this pattern the next release will be another upstream-forced patch rather than new modelling capability, unless a maintainer change or a new methods paper reopens development.
Other Analytics 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 hubExamples or momentuHMM.
A choice-based IRT model published once in 2019 and kept compiling ever since
The R engine behind MetaboAnalyst closes the gap from raw spectra to biological interpretation
Rebuilding SAS's formatting layer in R, one format specification at a time
Standardised coefficients for models where standardising everything is wrong — but the feed only links out
Stream-network spatial models learning to run on data that no longer fits in memory
Bioconductor's installer, frozen at 1.30.x and tuned almost entirely through environment variables
See all hubExamples alternatives → · See all momentuHMM alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. hubExamples and momentuHMM 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. hubExamples and momentuHMM 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 Analytics products to evaluate alongside.
Top hubExamples alternatives in Analytics are ranked by recent ship velocity. Browse the "hubExamples alternatives" section above for the current picks, or visit /alternatives/hubexamples for the full list with editorial commentary on each.
Top momentuHMM alternatives in Analytics are ranked by recent ship velocity. Browse the "momentuHMM alternatives" section above for the current picks, or visit /alternatives/momentuhmm for the full list with editorial commentary on each.