cIRT
A choice-based IRT model published once in 2019 and kept compiling ever since
Comparison · Analytics
momentuHMM vs tulpaRatio
A side-by-side editorial comparison of momentuHMM and tulpaRatio — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
momentuHMM vs tulpaRatio: at a glance
What is momentuHMM?
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.
What is tulpaRatio?
A Bayesian ratio-modelling package that threw out its Stan dependency and wrote its own sampler
ratiod models ratios, rates and proportions hierarchically, with the stated position that a ratio is a derived quantity and inference should run on the latent numerator and denominator processes rather than their quotient. The 1.0.0 release shipped a native HMC/NUTS backend, removing the Stan dependency that packages in this space normally take as given. Everything since has been sampler optimisation, benchmarked against the Stan implementations it replaced.
momentuHMM vs tulpaRatio: editorial side-by-side
momentuHMM
0.0ANALYTICS
The animal-movement HMM workhorse, feature-frozen since 2021 and coasting on compiler patches
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
tulpaRatio
0.0ANALYTICS
A Bayesian ratio-modelling package that threw out its Stan dependency and wrote its own sampler
◆ Current state
ratiod models ratios, rates and proportions hierarchically, with the stated position that a ratio is a derived quantity and inference should run on the latent numerator and denominator processes rather than their quotient. The 1.0.0 release shipped a native HMC/NUTS backend, removing the Stan dependency that packages in this space normally take as given. Everything since has been sampler optimisation, benchmarked against the Stan implementations it replaced.
◆ Where it's heading
The feed reads as one architectural bet followed by the work to justify it. After the native backend landed, the releases are a steady march of gradient and adaptation work — hand-coded gradients for more model families, L-BFGS mass matrix adaptation, an O2 build — each measured as a speed multiple against Stan. Coverage is tracked openly as a fraction (48 of 60 hand-coded configs), and unresolved problems are named rather than buried, including a deferred GP spatial bug.
◆ Prediction
The hand-coded gradient coverage count is the visible backlog, so the next releases most likely close the remaining configs and resolve the GP spatial issue that the benchmark release explicitly deferred.
Alternatives to momentuHMM and tulpaRatio
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 momentuHMM or tulpaRatio.
MetaboAnalystR
The R engine behind MetaboAnalyst closes the gap from raw spectra to biological interpretation
fmtr
Rebuilding SAS's formatting layer in R, one format specification at a time
betaselectr
Standardised coefficients for models where standardising everything is wrong — but the feed only links out
SSN2
Stream-network spatial models learning to run on data that no longer fits in memory
BiocManager
Bioconductor's installer, frozen at 1.30.x and tuned almost entirely through environment variables
See all momentuHMM alternatives → · See all tulpaRatio alternatives →
Recent activity from momentuHMM and tulpaRatio
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 6mo agotulpaRatioHand-coded gradients reach binomial zero-inflated and hurdle models
- 6mo agotulpaRatioGaussian process sampling reaches roughly 4x Stan
- 7mo agotulpaRatioL-BFGS mass matrix adaptation for MSGP models
- 7mo agotulpaRatioBenchmarks published for 35 of 40 model configurations
- 7mo agotulpaRatioFirst stable release ships a native HMC/NUTS backend, no Stan required ⚡
- 8mo agomomentuHMMDrops an unexported Brobdingnag import
- 9mo agomomentuHMMSwitches to std::isfinite after RcppArmadillo deprecation
- 1y agomomentuHMMCRAN-requested metadata and documentation edits
- 3y agomomentuHMMraster moved to Imports after crawl dropped it
- 4y agomomentuHMMRandom-walk stream offset bug invalidates prior fits
- 5y agomomentuHMMdoFuture becomes the default parallel backend
Frequently asked questions
What is the difference between momentuHMM and tulpaRatio?
Both compete on the same themes — r-package — within Analytics. momentuHMM and tulpaRatio 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 momentuHMM better than tulpaRatio?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. momentuHMM and tulpaRatio 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.
What are the best alternatives to momentuHMM?
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.
What are the best alternatives to tulpaRatio?
Top tulpaRatio alternatives in Analytics are ranked by recent ship velocity. Browse the "tulpaRatio alternatives" section above for the current picks, or visit /alternatives/tulparatio for the full list with editorial commentary on each.