ggprism
A Prism-styled ggplot2 theme in maintenance, now surviving ggplot2 4.0.
Comparison · Infra & APIs
mice vs pakret
A side-by-side editorial comparison of mice and pakret — release velocity, themes, recent moves, and the top alternatives to consider.
mice vs pakret: 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 pakret?
Package citation for R documents, quietly growing to meet Quarto.
pakret inserts citations for R packages into R Markdown and Quarto documents, resolving each package to a BibTeX entry and writing the .bib file that backs it. Version 0.3.1 adds support for Quarto's inline syntax and separator control when citing several packages in one inline chunk, following 0.3.0, which made the package create missing .bib files, preserve capitalisation in reference titles, and treat the version placeholder in citation templates as optional. Cadence is a handful of small releases a year.
mice vs pakret: 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.
pakret
0.0INFRA · APIS
Package citation for R documents, quietly growing to meet Quarto.
◆ Current state
pakret inserts citations for R packages into R Markdown and Quarto documents, resolving each package to a BibTeX entry and writing the .bib file that backs it. Version 0.3.1 adds support for Quarto's inline syntax and separator control when citing several packages in one inline chunk, following 0.3.0, which made the package create missing .bib files, preserve capitalisation in reference titles, and treat the version placeholder in citation templates as optional. Cadence is a handful of small releases a year.
◆ Where it's heading
Every release in this window removes a specific friction someone hit while writing a document. Bib files that had to exist beforehand now get created; single-letter package names like R and C stopped being lower-cased in titles; the package works when loaded after conflicted; citing many packages got faster; and version numbers became optional for documents where they are noise. The 0.3.1 Quarto support extends the same idea to the format its users are moving to. Nothing here is architectural, and nothing needs to be.
◆ Prediction
Expect continued alignment with Quarto as more of its syntax surfaces become relevant, and further refinement of how multi-reference packages resolve to a single entry, which the BibTeX type priority work in 0.2.0 started. The entries give no indication of a 1.0.
Alternatives to mice and pakret
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 pakret.
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.
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.
Recent activity from mice and pakret
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4mo agopakretQuarto inline syntax supported; list separators configurable
- 8mo agomicemice 3.19.0 ⚡
- 8mo agopakretMissing .bib files created; capitalisation preserved
- 1y agomicemice 3.18.0
- 1y agomicemice 3.17.0
- 1y agopakretMultiple .bib files supported within one document
- 1y agopakretCitations with pre-written keys now supported
- 1y agopakretbook entries used when no manual entry exists
- 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 pakret?
They serve adjacent needs but don't currently overlap on shipped themes. mice and pakret 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 pakret?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mice and pakret 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 pakret?
Top pakret alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "pakret alternatives" section above for the current picks, or visit /alternatives/pakret for the full list with editorial commentary on each.