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mice vs mmpca

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

mice vs mmpca: at a glance

Featuremicemmpca
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesmissing-data, multiple-imputation, statistics, r-packagecran, maintainership, rcpp, build-system
Last editorial update1h ago42m 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 mmpca?

Back from CRAN removal under a new maintainer, with the compiled layer rebuilt.

mmpca implements multiple matrix principal component analysis with a compiled GSL backend. The package spent time off CRAN, and its recent history is a rescue operation rather than a feature program: a new maintainer took it over, moved the native build path onto RcppGSL, and folded the hand-written C bindings into Rcpp. The two most recent entries landed the same day, one restoring the package and one clearing residual CRAN comments.

Read the full mmpca trajectory →

mice vs mmpca: 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.

M
mmpca
INFRA · APIS
0.0

Back from CRAN removal under a new maintainer, with the compiled layer rebuilt.

◆ Current state

mmpca implements multiple matrix principal component analysis with a compiled GSL backend. The package spent time off CRAN, and its recent history is a rescue operation rather than a feature program: a new maintainer took it over, moved the native build path onto RcppGSL, and folded the hand-written C bindings into Rcpp. The two most recent entries landed the same day, one restoring the package and one clearing residual CRAN comments.

◆ Where it's heading

Work is concentrated on making the package installable and check-clean rather than on the decomposition itself. The version stamps run out of order, with 2.0.3 predating both 2.0.2 and 2.0.4 by three years, so the feed reads as an archive flush around the CRAN return. Nothing in the entries points at method-level work.

◆ Prediction

Expect maintenance releases that keep the compiled code passing CRAN checks; the entries give no signal about new decomposition features.

Alternatives to mice and mmpca

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 mmpca.

See all mice alternatives → · See all mmpca alternatives →

Recent activity from mice and mmpca

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

  1. 8mo agomicemice 3.19.0
  2. 8mo agommpcaMinor CRAN comments cleared to keep the package listed
  3. 8mo agommpcaBack on CRAN under a new maintainer, rebuilt on RcppGSL
  4. 1y agomicemice 3.18.0
  5. 1y agomicemice 3.17.0
  6. 3y agomicemice 3.16.0
  7. 3y agommpcaValgrind memory fixes and a maximum-iteration option
  8. 3y agomicemice 3.15.0
  9. 4y agomicemice 3.14.0

Frequently asked questions

What is the difference between mice and mmpca?

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

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

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