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Comparison · Infra & APIs

mice vs states

A side-by-side editorial comparison of mice and states — release velocity, themes, recent moves, and the top alternatives to consider.

mice vs states: at a glance

Featuremicestates
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesmissing-data, multiple-imputation, statistics, r-packagepolitical-science, panel-data, country-codes, datasets
Last editorial update1h ago38m ago
WebsiteVisit →Visit →

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.

Read the full mice trajectory →

What is states?

State-panel tooling holding steady since its 2020 data and ergonomics release.

states supplies the Gleditsch & Ward and Correlates of War state lists and the tooling to turn them into country-year or country-month panels, with plot_missing() for coverage checks. The substantive work landed in 2020; the releases since are compatibility fixes against ggplot2, dplyr, readr and testthat. The most recent entry is a single test repair.

Read the full states trajectory →

mice vs states: editorial side-by-side

M
mice
INFRA · APIS
0.0

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.

S
states
INFRA · APIS
0.0

State-panel tooling holding steady since its 2020 data and ergonomics release.

◆ Current state

states supplies the Gleditsch & Ward and Correlates of War state lists and the tooling to turn them into country-year or country-month panels, with plot_missing() for coverage checks. The substantive work landed in 2020; the releases since are compatibility fixes against ggplot2, dplyr, readr and testthat. The most recent entry is a single test repair.

◆ Where it's heading

The package has reached the point where its own data and API are settled and the release trigger is upstream churn in the tidyverse. What movement there is goes toward making the two state lists interchangeable, with the microstates coding carried from G&W onto the COW data as the clearest example, rather than toward new datasets.

◆ Prediction

The next release is most likely another compatibility pass; a data refresh would be the signal that the package is active again.

Alternatives to mice and states

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 mice or states.

See all mice alternatives → · See all states alternatives →

Recent activity from mice and states

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 8mo agomicemice 3.19.0
  2. 0y agostatesplot_missing() test fixed for the next ggplot2
  3. 1y agomicemice 3.18.0
  4. 1y agomicemice 3.17.0
  5. 2y agostatesggplot2 and dplyr deprecation cleanup
  6. 2y agostatesBundled state data stripped to plain data frames
  7. 3y agomicemice 3.16.0
  8. 3y agomicemice 3.15.0
  9. 4y agomicemice 3.14.0
  10. 5y agostatesMicrostate coding for COW data and state_panel() shortcuts
  11. 7y agostatesSimpler defaults for state_panel() and plot_missing()

Frequently asked questions

What is the difference between mice and states?

They serve adjacent needs but don't currently overlap on shipped themes. mice and states 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 mice better than states?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mice and states 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 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.

What are the best alternatives to states?

Top states alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "states alternatives" section above for the current picks, or visit /alternatives/states for the full list with editorial commentary on each.