mice
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Comparison · Infra & APIs
midr vs sdcMicro
A side-by-side editorial comparison of midr and sdcMicro — release velocity, themes, recent moves, and the top alternatives to consider.
midr vs sdcMicro: at a glance
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.
What is sdcMicro?
A 20-year anonymization toolbox now has a language model inside its refinement loop.
sdcMicro is the reference R implementation of statistical disclosure control — k-anonymity, local suppression, PRAM, microaggregation, record swapping — used by national statistical offices, with a Shiny GUI (sdcApp) as its second face. The feed shows a long GUI-maintenance era through 2018-2022 and then a gap, and the package that reappears in 5.8.2 has an AI_applyAnonymization() workflow and a query_llm() helper that the older entries know nothing about. The July release tunes that loop rather than introducing it.
midr vs sdcMicro: editorial side-by-side
midr
0.0INFRA · APIS
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.
sdcMicro
0.0INFRA · APIS
A 20-year anonymization toolbox now has a language model inside its refinement loop.
◆ Current state
sdcMicro is the reference R implementation of statistical disclosure control — k-anonymity, local suppression, PRAM, microaggregation, record swapping — used by national statistical offices, with a Shiny GUI (sdcApp) as its second face. The feed shows a long GUI-maintenance era through 2018-2022 and then a gap, and the package that reappears in 5.8.2 has an AI_applyAnonymization() workflow and a query_llm() helper that the older entries know nothing about. The July release tunes that loop rather than introducing it.
◆ Where it's heading
Two threads run in parallel. The visible one is the LLM-assisted anonymization path maturing: 5.8.2 gives its refinement loop early stopping via tol and patience so it stops when the combined utility score plateaus instead of burning all max_iter rounds, and teaches query_llm() to drop the temperature parameter for reasoning models that reject it. The other is unglamorous statistical correctness — a distinct l-diversity computation fixed for NAs in key variables, with the C++ simplified and tests added. The release also ships reproducibility scripts for a SoftwareX paper, which suggests the AI path is being written up rather than quietly trialled.
◆ Prediction
The provider-compatibility fix is reactive — a parameter dropped because one model family rejected it — so expect more of the same as query_llm() meets other backends. Given tol and patience were added to stop wasted iterations, cost or runtime of the refinement loop is the live concern, and further controls on it are the likeliest next move.
Alternatives to midr and sdcMicro
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 sdcMicro.
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.
BAS
A Bayesian model-averaging package spending its 2.0 on memory, not methods.
tidyplots
tidyplots keeps rebuilding its own foundations rather than layering around them.
See all midr alternatives → · See all sdcMicro alternatives →
Recent activity from midr and sdcMicro
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agosdcMicroEarly stopping for the AI anonymization loop, plus GPT-5.x support
- 5mo agomidrMatrix responses bring multi-class and survival models in scope ⚡
- 7mo agomidrFirst CRAN release: MID surrogate models for black-box explanation ⚡
- 7mo agomidrMemory-efficient fitting for large design matrices
- 4y agosdcMicrorecordSwap() adds targeted record swapping
- 5y agosdcMicroTwo new information-loss measures and a run of sdcApp fixes
- 5y agosdcMicroCompatibility fixes for R 4.1 sorting and rsconnect deployment
- 8y agosdcMicroMinor release, mostly GUI work
- 8y agosdcMicrodUtility() corrected so IL1 and IL1s can be distinguished
Frequently asked questions
What is the difference between midr and sdcMicro?
They serve adjacent needs but don't currently overlap on shipped themes. midr and sdcMicro 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 sdcMicro?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. midr and sdcMicro 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 sdcMicro?
Top sdcMicro alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "sdcMicro alternatives" section above for the current picks, or visit /alternatives/sdcmicro for the full list with editorial commentary on each.