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Comparison · Infra & APIs
GeoThinneR vs mice
A side-by-side editorial comparison of GeoThinneR and mice — release velocity, themes, recent moves, and the top alternatives to consider.
GeoThinneR vs mice: at a glance
What is GeoThinneR?
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.
What is mice?
mice can finally predict, not just estimate, from multiply imputed data.
mice is the reference implementation of multiple imputation by chained equations, and the default answer to missing data in R. The releases here follow a consistent shape: one or two substantive additions per version, most contributed by outside authors, plus fixes to methods that have been in the package for years. The current 3.19.0 adds predict_mi(), which pools predictions across imputations under Rubin's rules and can return prediction intervals.
GeoThinneR vs mice: editorial side-by-side
GeoThinneR
0.0INFRA · APIS
Spatial thinning grows a result object, and the API breaks to make room for it
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
mice
0.0INFRA · APIS
mice can finally predict, not just estimate, from multiply imputed data.
◆ Current state
mice is the reference implementation of multiple imputation by chained equations, and the default answer to missing data in R. The releases here follow a consistent shape: one or two substantive additions per version, most contributed by outside authors, plus fixes to methods that have been in the package for years. The current 3.19.0 adds predict_mi(), which pools predictions across imputations under Rubin's rules and can return prediction intervals.
◆ Where it's heading
Two things are happening. The imputation method catalogue keeps widening — lasso variants, multivariate PMM, categorical PMM via canonical correlation — while the pooling side is being extended past its original purpose, first to synthetic data, now to predictions on held-out sets. That second thread points at predictive modelling workflows rather than the inferential ones mice was built for. Meanwhile the maintainers keep finding consequential old bugs: the augment() ordered-factor defect in 3.18.0 had been silently degrading ordinal imputations for years.
◆ Prediction
predict_mi() is framed around evaluating predictive performance on test sets, and the ignore argument added in 3.12.0 already exists to hold out rows from the imputation model. Expect the next work to join those up into a fuller train/test story for imputed data, since the pieces are now in place but not yet connected.
Alternatives to GeoThinneR and mice
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 mice.
PINstimation
A market-microstructure toolkit that keeps adding estimators as the papers land.
nzilbb.vowels
A vowel-analysis package trimming dependencies after an email address got it archived.
emuR
The R half of the EMU speech database system, fixing what was quietly broken.
BAS
A Bayesian model-averaging package spending its 2.0 on memory, not methods.
tidyplots
tidyplots keeps rebuilding its own foundations rather than layering around them.
See all GeoThinneR alternatives → · See all mice alternatives →
Recent activity from GeoThinneR and mice
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 5mo agoGeoThinneRInteger overflow in local kd-tree grid assignment
- 8mo agomicemice 3.19.0 ⚡
- 8mo agoGeoThinneRPriority-based tie-breaking across all thinning methods
- 1y agomicemice 3.18.0
- 1y agoGeoThinneRGeoThinned result objects and a reorganised method surface ⚡
- 1y agoGeoThinneRR-tree thinning removed with its off-CRAN dependency
- 1y agomicemice 3.17.0
- 3y agomicemice 3.16.0
- 3y agomicemice 3.15.0
- 4y agomicemice 3.14.0
Frequently asked questions
What is the difference between GeoThinneR and mice?
They serve adjacent needs but don't currently overlap on shipped themes. GeoThinneR and mice 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 GeoThinneR better than mice?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. GeoThinneR and mice 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.
What are the best alternatives to GeoThinneR?
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.
What are the best alternatives to mice?
Top mice alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "mice alternatives" section above for the current picks, or visit /alternatives/mice for the full list with editorial commentary on each.