← Back to home
Comparison · Analytics

procs vs revdbayes

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

procs vs revdbayes: at a glance

Featureprocsrevdbayes
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesstatistics, sas-migration, r-package, clinical-reportingextreme-value-theory, bayesian, rcpp, cran-compliance
Last editorial update1h ago26m ago
WebsiteVisit →Visit →

What is procs?

An R package rebuilding SAS procedures one PROC at a time, now filling in their options.

procs reimplements SAS statistical procedures — FREQ, MEANS, TTEST, REG, SORT, TRANSPOSE — as R functions returning both datasets and report-ready output, as part of the r-sassy suite. The catalogue of procedures is largely assembled; recent releases concentrate on the parameters each one accepts rather than on adding new procedures. Validation documentation is maintained alongside the code, consistent with the regulated environments the suite targets.

Read the full procs trajectory →

What is revdbayes?

Extreme value sampling in pure upkeep mode, mostly answering to Rcpp and CRAN.

revdbayes performs Bayesian extreme value analysis using ratio-of-uniforms sampling, giving random samples rather than MCMC chains. Every entry in the visible window is filed under bug fixes and minor improvements. The most recent, 1.5.7, strips missing values before fitting the generalised Pareto MLE; the two before it are an Rcpp compatibility patch and a response to CRAN check failures that turned out to be false positives.

Read the full revdbayes trajectory →

procs vs revdbayes: editorial side-by-side

P
procs
ANALYTICS
0.0

An R package rebuilding SAS procedures one PROC at a time, now filling in their options.

◆ Current state

procs reimplements SAS statistical procedures — FREQ, MEANS, TTEST, REG, SORT, TRANSPOSE — as R functions returning both datasets and report-ready output, as part of the r-sassy suite. The catalogue of procedures is largely assembled; recent releases concentrate on the parameters each one accepts rather than on adding new procedures. Validation documentation is maintained alongside the code, consistent with the regulated environments the suite targets.

◆ Where it's heading

The work has shifted from breadth to fidelity: where earlier releases introduced whole procedures, recent ones add the options a SAS user expects to find on them, most visibly the where parameter spread across five functions at once and plotting support across three. Statistical output is being widened too, with AIC and adjusted Chi-Square appearing. The remaining gap is per-procedure option coverage rather than missing procedures.

◆ Prediction

Expect continued option-level parity work on the existing procedures, with new statistics added to their output tables, rather than a new proc_* function.

R
revdbayes
ANALYTICS
0.0

Extreme value sampling in pure upkeep mode, mostly answering to Rcpp and CRAN.

◆ Current state

revdbayes performs Bayesian extreme value analysis using ratio-of-uniforms sampling, giving random samples rather than MCMC chains. Every entry in the visible window is filed under bug fixes and minor improvements. The most recent, 1.5.7, strips missing values before fitting the generalised Pareto MLE; the two before it are an Rcpp compatibility patch and a response to CRAN check failures that turned out to be false positives.

◆ Where it's heading

The methods are settled and the release traffic is external: Rcpp issues, CRAN platform checks, documentation anchor requirements. Two of the six releases exist only because CRAN's check farm flagged something, and one of those flags resolved itself. Sibling package profileCI from the same maintainer has been more active, which suggests attention has moved to newer work rather than away from R entirely.

◆ Prediction

Expect further small releases driven by Rcpp or CRAN check changes rather than by the sampling methods.

Alternatives to procs and revdbayes

Other Analytics 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 procs or revdbayes.

See all procs alternatives → · See all revdbayes alternatives →

Recent activity from procs and revdbayes

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

  1. 2mo agoprocsproc_ttest() gains sides, freq and weight parameters
  2. 4mo agorevdbayesMissing values now removed before generalised Pareto MLE fitting
  3. 4mo agoprocsA where parameter arrives across five procedures
  4. 7mo agorevdbayesRcpp patch applied to avoid masking Rf_error()
  5. 7mo agorevdbayesPatch for macOS CRAN check errors that proved to be false positives
  6. 8mo agoprocsAdjusted Chi-Square added, altering the proc_freq() table
  7. 2y agorevdbayesArgument documentation corrected; Rd link anchors fixed
  8. 2y agoprocsproc_reg() added for regression
  9. 2y agoprocsOrdered-factor handling fixed across three procedures
  10. 2y agoprocsproc_ttest() added, plus factor casting on proc_sort()
  11. 2y agorevdbayesRcpp warning fix plus Rd itemize corrections
  12. 2y agorevdbayesC++11 specification dropped to clear a CRAN note

Frequently asked questions

What is the difference between procs and revdbayes?

They serve adjacent needs but don't currently overlap on shipped themes. procs and revdbayes 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 procs better than revdbayes?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. procs and revdbayes 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 Analytics products to evaluate alongside.

What are the best alternatives to procs?

Top procs alternatives in Analytics are ranked by recent ship velocity. Browse the "procs alternatives" section above for the current picks, or visit /alternatives/procs for the full list with editorial commentary on each.

What are the best alternatives to revdbayes?

Top revdbayes alternatives in Analytics are ranked by recent ship velocity. Browse the "revdbayes alternatives" section above for the current picks, or visit /alternatives/revdbayes for the full list with editorial commentary on each.