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Comparison · Infra & APIs

midr vs mmpca

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

midr vs mmpca: at a glance

Featuremidrmmpca
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesexplainable-ai, surrogate-models, shapley, survival-analysiscran, maintainership, rcpp, build-system
Last editorial update3h ago1h ago
WebsiteVisit →Visit →

What is midr?

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.

Read the full midr 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 →

midr vs mmpca: editorial side-by-side

M
midr
INFRA · APIS
0.0

A black-box interpreter reaches CRAN, then learns multi-class and survival responses

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

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 midr 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 midr or mmpca.

See all midr alternatives → · See all mmpca alternatives →

Recent activity from midr and mmpca

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

  1. 5mo agomidrMatrix responses bring multi-class and survival models in scope
  2. 7mo agomidrFirst CRAN release: MID surrogate models for black-box explanation
  3. 7mo agomidrMemory-efficient fitting for large design matrices
  4. 8mo agommpcaMinor CRAN comments cleared to keep the package listed
  5. 8mo agommpcaBack on CRAN under a new maintainer, rebuilt on RcppGSL
  6. 3y agommpcaValgrind memory fixes and a maximum-iteration option

Frequently asked questions

What is the difference between midr and mmpca?

They serve adjacent needs but don't currently overlap on shipped themes. midr 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 midr better than mmpca?

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

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.

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.