mice
mice can finally predict, not just estimate, from multiply imputed data.
A side-by-side editorial comparison of LightLogR and midr — 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 black-box interpreter reaches CRAN, then learns multi-class and survival responses
midr explains black-box models by fitting an interpretable surrogate through Maximum Interpretation Decomposition — main effects plus second-order interactions, with exact Shapley values for the surrogate. Two months after its first CRAN release it can take a matrix response, which covers multi-class classification and survival models, and hold collections of fitted interpretations in midlist and midrib objects for comparison.
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.
midr explains black-box models by fitting an interpretable surrogate through Maximum Interpretation Decomposition — main effects plus second-order interactions, with exact Shapley values for the surrogate. Two months after its first CRAN release it can take a matrix response, which covers multi-class classification and survival models, and hold collections of fitted interpretations in midlist and midrib objects for comparison.
The releases move outward along two axes at once: what can be interpreted, and how much of it fits in memory. Version 0.5.3 rebuilt the fitting path to avoid materialising large design matrices and added a save.memory option; 0.6.0 widened the response from a vector to a matrix and added parametric link functions. Class and argument names were shortened in the same release, so the package is still willing to break itself this early.
With multiple models now held in one object and visualisation methods for them, comparison across models is the surface most likely to fill out next — the collection classes exist but the notes describe manipulation and plotting rather than any comparison metric.
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 midr.
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 midr 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 midr 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 midr 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 midr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "midr alternatives" section above for the current picks, or visit /alternatives/midr for the full list with editorial commentary on each.