ggpointless
ggpointless keeps adding the ggplot2 layers nobody else bothered to write.
Comparison · Infra & APIs
campsis vs qol
A side-by-side editorial comparison of campsis and qol — release velocity, themes, recent moves, and the top alternatives to consider.
campsis vs qol: at a glance
What is campsis?
Campsis breaks its API on purpose: snake_case throughout, RxODE compatibility cut loose.
Campsis runs clinical-trial simulations from pharmacometric models, sitting on mrgsolve and rxode2 as interchangeable engines, with the sibling package Campsismod supplying the model object layer. Version 1.9.0 is the release where the suite stops carrying its history: the whole API migrates to snake_case, backward compatibility with the old RxODE package is removed, and result processing is refactored into output functions that can be applied as a collection, with an NCA table the first substantial one. Campsismod made the same snake_case move a week earlier, so this is a suite-wide rename rather than one package's decision.
What is qol?
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.
campsis vs qol: editorial side-by-side
campsis
3.8INFRA · APIS
Campsis breaks its API on purpose: snake_case throughout, RxODE compatibility cut loose.
◆ Current state
Campsis runs clinical-trial simulations from pharmacometric models, sitting on mrgsolve and rxode2 as interchangeable engines, with the sibling package Campsismod supplying the model object layer. Version 1.9.0 is the release where the suite stops carrying its history: the whole API migrates to snake_case, backward compatibility with the old RxODE package is removed, and result processing is refactored into output functions that can be applied as a collection, with an NCA table the first substantial one. Campsismod made the same snake_case move a week earlier, so this is a suite-wide rename rather than one package's decision.
◆ Where it's heading
The 1.8 and 1.9 releases together describe a package being made drivable from outside R. JSON interfaces arrived first for models in Campsismod 1.3.0 and for datasets in Campsis 1.8.0, then extended to scenarios, settings and study replication; the output side has now been generalised the same way, from fixed result processing to a collection of output functions applied to simulated results. Renaming every function and cutting RxODE loose is the cost of that consolidation, paid in one deliberate breaking release rather than spread across several.
◆ Prediction
With the rename and the RxODE removal behind it, the next releases should restore the rxode2 engine to the test suite, which 1.9.0 removed temporarily, and continue filling out the output-function catalogue beyond NCA. The JSON surface looks like the intended entry point for driving Campsis from outside R, though the entries do not say what is meant to consume it.
qol
0.0INFRA · APIS
A SAS-to-R comfort layer that has quietly grown into its own dialect.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
Alternatives to campsis and qol
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 campsis or qol.
mpactr
mpactr spent two spring releases normalizing case in metadata after users kept tripping on it.
surveytidy
surveytidy taught every dplyr verb to operate on a whole collection of surveys at once.
surveycore
surveycore declared its API stable with every survey design type covered.
PEIMAN2
PEIMAN2 cut its annotation database loose from its release cycle without breaking CRAN.
prospectr
prospectr spent its biggest release in years fixing spectra it had been quietly mangling.
Recent activity from campsis and qol
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 15d agocampsissnake_case across the API; RxODE compatibility removed ⚡
- 1mo agoqolifelse_multi() brings SAS-style string conditions to R
- 2mo agoqolcode_statistics() scans script folders; retain_stat() generalizes
- 3mo agoqolcompute. and recode. renamed to dodge dplyr masking
- 4mo agoqolFile I/O, a console message system and do_if filter blocks
- 5mo agocampsisJSON arguments reach Dataset, Scenarios and Settings
- 5mo agoqolRow and column percentage keywords; reworked dummy data
- 6mo agoqolMacro variables, multi-file import/export and text helpers
- 7mo agocampsisMaintenance release for future package warnings
- 7mo agocampsisJSON import for Campsis datasets
- 1y agocampsisDosing gains vectorized compartments and cycle repetition
- 1y agocampsisParameter uncertainty from SIR and bootstrap output
Frequently asked questions
What is the difference between campsis and qol?
They serve adjacent needs but don't currently overlap on shipped themes. campsis is currently shipping more aggressively (velocity 3.8 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is campsis better than qol?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. campsis is currently shipping more aggressively (velocity 3.8 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
What are the best alternatives to campsis?
Top campsis alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "campsis alternatives" section above for the current picks, or visit /alternatives/campsis for the full list with editorial commentary on each.
What are the best alternatives to qol?
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.