ggpointless
ggpointless keeps adding the ggplot2 layers nobody else bothered to write.
A side-by-side editorial comparison of PowerTOST and qol — 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 SAS-to-R comfort layer that has quietly grown into its own dialect.
qol is a one-maintainer R package aimed at analysts moving from SAS: SAS-shaped verbs (compute., if./else_if., retain_value, do_if blocks), format-driven tabulation through any_table()/summarise_plus(), and styled Excel output as the default destination. Releases land roughly monthly and each one is large. The recent line has shifted from adding verbs to letting conditions be written as parsed character strings, which is the closest the package gets to reproducing SAS syntax inside R.
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.
qol is a one-maintainer R package aimed at analysts moving from SAS: SAS-shaped verbs (compute., if./else_if., retain_value, do_if blocks), format-driven tabulation through any_table()/summarise_plus(), and styled Excel output as the default destination. Releases land roughly monthly and each one is large. The recent line has shifted from adding verbs to letting conditions be written as parsed character strings, which is the closest the package gets to reproducing SAS syntax inside R.
Three threads are visible across these releases. Syntax fidelity is the newest: ifelse_multi() introduced character-string conditions with SAS-style writing, and if./else_if. immediately picked the style up. Tabulation flexibility is the constant — any_table() gains per-variable statistic selection, nested variable combinations in brackets, vector order_by, compute support. The third is ecosystem plumbing the maintainer builds when a gap appears: file I/O in 1.3.0, a console message system, global style options, macro variables, and in 1.3.2 a code_statistics() script scanner. Renames to dodge data.table and dplyr masking recur often enough to be a pattern.
The maintainer flagged the new percentile behaviour as a first iteration that only works with few grouping variables, so a performance pass on it is the clearest outstanding item. Beyond that the character-condition syntax has reached three functions in two releases and looks likely to spread to the remaining filter-bearing verbs.
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 qol.
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 qol 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 qol 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 qol 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 qol alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "qol alternatives" section above for the current picks, or visit /alternatives/qol for the full list with editorial commentary on each.