mice
mice can finally predict, not just estimate, from multiply imputed data.
A side-by-side editorial comparison of LightLogR and stochvol — release velocity, themes, recent moves, and the top alternatives to consider.
Wearable light-exposure data gets circular time and versioned device formats
LightLogR ingests recordings from wearable light loggers and optical radiation dosimeters, and its release notes are lopsided: four of the six most recent tags are one-line merge stubs while 0.10.0 carries several thousand words. That release is where the package sits — dataset-wide summary tables, a version argument on the importers, and time of day handled as a circular quantity.
A Bayesian volatility sampler in its maintenance decade, paying for its own speed
stochvol runs MCMC for stochastic volatility models, with a C++ sampler underneath an R interface. Five years of releases in this window contain no new models: the work is compiler and dependency compatibility, CRAN check notes, and a steady trickle of corrections to the sampler itself. Its methodological milestone, the Journal of Statistical Software paper, is recorded in a 2021 tag.
LightLogR ingests recordings from wearable light loggers and optical radiation dosimeters, and its release notes are lopsided: four of the six most recent tags are one-line merge stubs while 0.10.0 carries several thousand words. That release is where the package sits — dataset-wide summary tables, a version argument on the importers, and time of day handled as a circular quantity.
The arc runs from reading files off N devices toward modelling the awkward shapes of chronobiology data. Circular conversion lets bedtimes crossing midnight average correctly; remove_partial_data() can demand a minimum duration rather than a fraction of a known total; add_states() takes Interval objects so sleep-scoring output flows straight in. The device side hardens in parallel — supported_versions() exists because a VEET firmware release changed the file format mid-life.
The version switch currently covers VEET and a German-locale Actiwatch Spectrum; more device-format generations behind that same argument are the obvious continuation as manufacturers revise exports. The named milestones (Civil Dawn, then Sunrise) suggest the next substantive release will be another themed one rather than a steady drip.
stochvol runs MCMC for stochastic volatility models, with a C++ sampler underneath an R interface. Five years of releases in this window contain no new models: the work is compiler and dependency compatibility, CRAN check notes, and a steady trickle of corrections to the sampler itself. Its methodological milestone, the Journal of Statistical Software paper, is recorded in a 2021 tag.
This is what a finished computational package looks like. The formula interface arrived at 3.1.0 and nothing has been added since; what changes is the ground underneath — RcppArmadillo major versions, UBSan checks, error-handling conventions moving from Rf_error to Rcpp::stop for correct memory management. The recurring pattern worth watching is that several releases fix real errors in the sampler's proposal distributions, found by users and by CRAN's own instrumented checks rather than by the maintainer.
Nothing in these notes suggests new methodology. Expect the next release when RcppArmadillo or a CRAN check flavour forces one, and treat any bug report against the samplers as the more consequential event.
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 LightLogR or stochvol.
mice can finally predict, not just estimate, from multiply imputed data.
A market-microstructure toolkit that keeps adding estimators as the papers land.
A vowel-analysis package trimming dependencies after an email address got it archived.
The R half of the EMU speech database system, fixing what was quietly broken.
A Bayesian model-averaging package spending its 2.0 on memory, not methods.
tidyplots keeps rebuilding its own foundations rather than layering around them.
See all LightLogR alternatives → · See all stochvol alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. LightLogR and stochvol 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. LightLogR and stochvol 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.
Top LightLogR alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "LightLogR alternatives" section above for the current picks, or visit /alternatives/lightlogr for the full list with editorial commentary on each.
Top stochvol alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "stochvol alternatives" section above for the current picks, or visit /alternatives/stochvol for the full list with editorial commentary on each.