ggpointless
ggpointless keeps adding the ggplot2 layers nobody else bothered to write.
A side-by-side editorial comparison of PowerTOST and sdcMicro — release velocity, themes, recent moves, and the top alternatives to consider.
A bioequivalence sample-size workhorse whose news is which regulator it now covers
PowerTOST computes power and sample size for bioequivalence and its changelog reads as a record of regulatory divergence more than statistical development. Version 1.5-3 added the Gulf Co-operation Council as a regulator setting; 1.5-4 and 1.5-6 stripped 'FDA' out of the narrow-therapeutic-index function names once China's CDE began requiring the same evaluation. The most recent release, 1.5-7, is a single fix to how nvec() splits a total sample size across sequences.
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.
PowerTOST computes power and sample size for bioequivalence and its changelog reads as a record of regulatory divergence more than statistical development. Version 1.5-3 added the Gulf Co-operation Council as a regulator setting; 1.5-4 and 1.5-6 stripped 'FDA' out of the narrow-therapeutic-index function names once China's CDE began requiring the same evaluation. The most recent release, 1.5-7, is a single fix to how nvec() splits a total sample size across sequences.
The package is in long maintenance with a widening regulatory surface: the statistical methods are settled, and releases arrive when an agency publishes a framework that can be expressed as a settings variant of an existing method. Function naming has been deliberately decoupled from any single agency, with the deprecated FDA-suffixed aliases carried for years before removal. Cadence has slowed to roughly one release every eighteen months.
The next release is most likely another regulator setting or a small fix; on the deprecation notice already given, the power.NTIDFDA()-style aliases are the obvious removal candidate.
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.
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.
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.
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 PowerTOST or sdcMicro.
ggpointless keeps adding the ggplot2 layers nobody else bothered to write.
mpactr spent two spring releases normalizing case in metadata after users kept tripping on it.
surveytidy taught every dplyr verb to operate on a whole collection of surveys at once.
surveycore declared its API stable with every survey design type covered.
PEIMAN2 cut its annotation database loose from its release cycle without breaking CRAN.
prospectr spent its biggest release in years fixing spectra it had been quietly mangling.
See all PowerTOST alternatives → · See all sdcMicro alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. PowerTOST 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. PowerTOST 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.
Top PowerTOST alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "PowerTOST alternatives" section above for the current picks, or visit /alternatives/powertost for the full list with editorial commentary on each.
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.