mice
mice can finally predict, not just estimate, from multiply imputed data.
A side-by-side editorial comparison of midr and selection.index — release velocity, themes, recent moves, and the top alternatives to consider.
A black-box interpreter reaches CRAN, then learns multi-class and survival responses
midr explains black-box models by fitting an interpretable surrogate through Maximum Interpretation Decomposition — main effects plus second-order interactions, with exact Shapley values for the surrogate. Two months after its first CRAN release it can take a matrix response, which covers multi-class classification and survival models, and hold collections of fitted interpretations in midlist and midrib objects for comparison.
A dormant plant-breeding package returns as a genomic selection index suite
selection.index computes selection indices for plant breeding — weighting several traits into one number breeders can rank on. After two years of silence it shipped 2.0.0 in March 2026, and the package is barely recognisable: snake_case throughout, an Rcpp and RcppEigen computational core, and index families for genomic data, marker data, multi-stage trials and constrained genetic gain sitting beside the original phenotypic ones.
midr explains black-box models by fitting an interpretable surrogate through Maximum Interpretation Decomposition — main effects plus second-order interactions, with exact Shapley values for the surrogate. Two months after its first CRAN release it can take a matrix response, which covers multi-class classification and survival models, and hold collections of fitted interpretations in midlist and midrib objects for comparison.
The releases move outward along two axes at once: what can be interpreted, and how much of it fits in memory. Version 0.5.3 rebuilt the fitting path to avoid materialising large design matrices and added a save.memory option; 0.6.0 widened the response from a vector to a matrix and added parametric link functions. Class and argument names were shortened in the same release, so the package is still willing to break itself this early.
With multiple models now held in one object and visualisation methods for them, comparison across models is the surface most likely to fill out next — the collection classes exist but the notes describe manipulation and plotting rather than any comparison metric.
selection.index computes selection indices for plant breeding — weighting several traits into one number breeders can rank on. After two years of silence it shipped 2.0.0 in March 2026, and the package is barely recognisable: snake_case throughout, an Rcpp and RcppEigen computational core, and index families for genomic data, marker data, multi-stage trials and constrained genetic gain sitting beside the original phenotypic ones.
The first version series added one function at a time — combinatorial indices, then genetic advance, then mean performance under randomised block designs — against a fixed phenotypic framing. Version 2.0.0 abandons that framing rather than extending it. Genomic and marker information become inputs the package understands, multi-cycle simulation becomes a built-in toolset, and the old combinatorial entry points are replaced by a named lpsi(). The 2.0.1 follow-up is entirely CI and numerical-stability work, which reads like a maintainer bracing a much larger surface.
A seventeen-runner CI matrix mirroring every CRAN check flavour, added days after 2.0.0, says the immediate concern is keeping a compiled multi-family package green rather than adding to it. Expect stabilisation releases before anything new.
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 midr or selection.index.
mice can finally predict, not just estimate, from multiply imputed data.
A market-microstructure toolkit that keeps adding estimators as the papers land.
A vowel-analysis package trimming dependencies after an email address got it archived.
The R half of the EMU speech database system, fixing what was quietly broken.
A Bayesian model-averaging package spending its 2.0 on memory, not methods.
tidyplots keeps rebuilding its own foundations rather than layering around them.
See all midr alternatives → · See all selection.index alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. midr and selection.index 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. midr and selection.index 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.
Top midr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "midr alternatives" section above for the current picks, or visit /alternatives/midr for the full list with editorial commentary on each.
Top selection.index alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "selection.index alternatives" section above for the current picks, or visit /alternatives/selection-index for the full list with editorial commentary on each.