JointFPM
Recurrent-event modelling settles, with mean_no() promoted to stable.
Comparison · Infra & APIs
mice vs statsExpressions
A side-by-side editorial comparison of mice and statsExpressions — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:statistics
mice vs statsExpressions: at a glance
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.
What is statsExpressions?
A statistics backend whose release history is mostly other people's weather
statsExpressions produces the tidy dataframes and plotmath expressions that ggstatsplot prints onto plots, and that position defines its changelog. Six of its ten most recent versions exist to absorb API changes in easystats, dplyr or purrr. Version 2.0.0 is the exception, cut to accompany ggstatsplot's own 1.0.0 and carrying pairwise Fisher's exact post hocs for contingency tables.
mice vs statsExpressions: editorial side-by-side
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.
statsExpressions
0.0INFRA · APIS
A statistics backend whose release history is mostly other people's weather
◆ Current state
statsExpressions produces the tidy dataframes and plotmath expressions that ggstatsplot prints onto plots, and that position defines its changelog. Six of its ten most recent versions exist to absorb API changes in easystats, dplyr or purrr. Version 2.0.0 is the exception, cut to accompany ggstatsplot's own 1.0.0 and carrying pairwise Fisher's exact post hocs for contingency tables.
◆ Where it's heading
This is a component settling into place beneath a larger package rather than a product with its own roadmap. New statistical content arrives rarely and narrowly — an exact-p toggle, one post-hoc function — while the recurring work is keeping expressions correct as the easystats stack shifts underneath. The one bug class it keeps returning to is rendering: p-values of exactly zero, decimal commas that plotmath parses as list separators.
◆ Prediction
Coupled this tightly, the next release is most likely another compatibility pass timed to an easystats or ggstatsplot version rather than new tests. Nothing in these entries signals an independent feature direction.
Alternatives to mice and statsExpressions
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 statsExpressions.
CptNonPar
Nonparametric change point detection swaps p-values for importance scores.
ggprism
A Prism-styled ggplot2 theme in maintenance, now surviving ggplot2 4.0.
TrendLSW
Wavelet trend estimation tightens the defaults it shipped with.
mmpca
Back from CRAN removal under a new maintainer, with the compiled layer rebuilt.
PINstimation
A market-microstructure toolkit that keeps adding estimators as the papers land.
See all mice alternatives → · See all statsExpressions alternatives →
Recent activity from mice and statsExpressions
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3mo agostatsExpressionsPairwise Fisher's post hocs for contingency tables
- 4mo agostatsExpressionsInternal maintenance only, no user-facing changes
- 6mo agostatsExpressionsAdapts to dplyr 1.2.0 and purrr 1.2.1
- 6mo agostatsExpressionsAdapts to changes in the easystats packages
- 8mo agomicemice 3.19.0 ⚡
- 1y agostatsExpressionsFixes p-value rendering when p is exactly zero
- 1y agomicemice 3.18.0
- 1y agostatsExpressionscentrality_description() follows the new easystats API
- 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 mice and statsExpressions?
Both compete on the same themes — statistics — within Infra & APIs. mice and statsExpressions 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 statsExpressions?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mice and statsExpressions 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 statsExpressions?
Top statsExpressions alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "statsExpressions alternatives" section above for the current picks, or visit /alternatives/statsexpressions for the full list with editorial commentary on each.