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Comparison · Infra & APIs

ordinalsimr vs sdcMicro

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

ordinalsimr vs sdcMicro: at a glance

FeatureordinalsimrsdcMicro
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesordinal-data, shiny, simulation, statistical-testsdisclosure-control, anonymization, llm-assisted-workflows, k-anonymity
Last editorial update1h ago6h ago
WebsiteVisit →Visit →

What is ordinalsimr?

A Shiny app for choosing the right ordinal test reached CRAN in a single 90-minute burst of tags.

ordinalsimr compares ordinal endpoints by simulation — you specify probability distributions, sample sizes and iterations, and it runs the candidate statistical tests against them so you can see which behaves best. It is delivered as a Shiny application with a data-entry grid, and its entire release history spans six days in January 2025: three tags inside 90 minutes on the 20th, then a CRAN-compliance release on the 26th.

Read the full ordinalsimr trajectory →

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.

Read the full sdcMicro trajectory →

ordinalsimr vs sdcMicro: editorial side-by-side

O
ordinalsimr
INFRA · APIS
0.0

A Shiny app for choosing the right ordinal test reached CRAN in a single 90-minute burst of tags.

◆ Current state

ordinalsimr compares ordinal endpoints by simulation — you specify probability distributions, sample sizes and iterations, and it runs the candidate statistical tests against them so you can see which behaves best. It is delivered as a Shiny application with a data-entry grid, and its entire release history spans six days in January 2025: three tags inside 90 minutes on the 20th, then a CRAN-compliance release on the 26th.

◆ Where it's heading

The release bodies are auto-generated pull-request lists covering the repository's whole history, so they read as a build log rather than a changelog: data entry UI, an rhandsontable statistics module, iteration and sample-size modules, binomial confidence intervals, plot tests, and a rename to the current package name late in development. What that log shows is a single-author project built to completion privately and then published all at once, with the public version history existing mainly to satisfy CRAN.

◆ Prediction

With the CRAN submission accepted and no post-release entries in the feed, the next move is most likely a maintenance release; the PR log gives no signal of planned work beyond the tests already implemented.

S
sdcMicro
INFRA · APIS
0.0

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 ordinalsimr 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 ordinalsimr or sdcMicro.

See all ordinalsimr alternatives → · See all sdcMicro alternatives →

Recent activity from ordinalsimr and sdcMicro

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

  1. 1mo agosdcMicroEarly stopping for the AI anonymization loop, plus GPT-5.x support
  2. 1y agoordinalsimrv0.1.3 CRAN submission
  3. 1y agoordinalsimrOrdinal endpoint simulator submitted to CRAN
  4. 1y agoordinalsimrREADME refreshed and DOI added to the citation file
  5. 1y agoordinalsimrDevelopment tag ahead of the CRAN submission
  6. 4y agosdcMicrorecordSwap() adds targeted record swapping
  7. 5y agosdcMicroTwo new information-loss measures and a run of sdcApp fixes
  8. 5y agosdcMicroCompatibility fixes for R 4.1 sorting and rsconnect deployment
  9. 8y agosdcMicroMinor release, mostly GUI work
  10. 8y agosdcMicrodUtility() corrected so IL1 and IL1s can be distinguished

Frequently asked questions

What is the difference between ordinalsimr and sdcMicro?

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

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

Top ordinalsimr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ordinalsimr alternatives" section above for the current picks, or visit /alternatives/ordinalsimr 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.