mice
mice can finally predict, not just estimate, from multiply imputed data.
A side-by-side editorial comparison of GeoThinneR and lares — release velocity, themes, recent moves, and the top alternatives to consider.
Spatial thinning grows a result object, and the API breaks to make room for it
GeoThinneR removes spatially redundant occurrence records before species distribution modelling. Version 2.0.0 restructured it around a GeoThinned S3 class with print, summary, plot and trial-accessor methods, replacing the bare logical vectors earlier versions returned, and reorganised the methods into three named strategies — distance, grid and precision — with the search algorithm as a separate argument. The two releases since have added a priority system for choosing which of several tied points to drop.
One analyst's toolbox, still shipping: Meta MMM tooling beside Wordle solvers
lares is Bernardo Lares' personal R sidekick and has never pretended otherwise — the same release adds a marketing-mix diagnostic and a function to keep your screen awake. The serious core is the Robyn/Meta arm: model selection, per-channel performance decomposition, cross-channel budget allocation. Around it sit h2o AutoML wrappers, credential and cache helpers, MP3 tagging, and a family of games.
GeoThinneR removes spatially redundant occurrence records before species distribution modelling. Version 2.0.0 restructured it around a GeoThinned S3 class with print, summary, plot and trial-accessor methods, replacing the bare logical vectors earlier versions returned, and reorganised the methods into three named strategies — distance, grid and precision — with the search algorithm as a separate argument. The two releases since have added a priority system for choosing which of several tied points to drop.
The package is moving from a function that returns an answer to a tool that returns something you can interrogate. Multiple thinning trials are first-class — you can ask for the largest, fetch a specific one, summarise one — and the recent work is about making the choice among tied candidates controllable rather than random. Dependency discipline runs alongside: the R-tree method was dropped when its package was not on CRAN, and spatial coverage degrades to NA rather than failing when s2 is missing.
The priority mechanism now covers all three strategies and the last release was an overflow fix in the local kd-tree path at large sizes, so scale is where the pressure is. More work on the distance methods at large N is the likelier next step than another strategy.
lares is Bernardo Lares' personal R sidekick and has never pretended otherwise — the same release adds a marketing-mix diagnostic and a function to keep your screen awake. The serious core is the Robyn/Meta arm: model selection, per-channel performance decomposition, cross-channel budget allocation. Around it sit h2o AutoML wrappers, credential and cache helpers, MP3 tagging, and a family of games.
Over two years the Robyn tooling matured first — robyn_performance() and robyn_modelselector() were rebuilt release after release through 2024 — and recent work has drifted outward into media and API plumbing: encrypted file helpers in 5.3.2, then an iTunes-first metadata path, MP3 tag writing, and a move of holidays() onto the Nager.Date API in 5.4.0. Cadence is roughly quarterly and the package has been quiet for three months.
The pattern in nearly every release is that a third-party API moves and lares follows it — Meta's version bumps, Robyn 3.12.0, now Nager.Date. Expect the next release to be another compatibility pass plus whatever utility the author needed that week; nothing in these entries points at a structural change.
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 GeoThinneR or lares.
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 GeoThinneR alternatives → · See all lares alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. GeoThinneR and lares 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. GeoThinneR and lares 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 GeoThinneR alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "GeoThinneR alternatives" section above for the current picks, or visit /alternatives/geothinner for the full list with editorial commentary on each.
Top lares alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "lares alternatives" section above for the current picks, or visit /alternatives/lares for the full list with editorial commentary on each.