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revdbayes vs tidycmprsk

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

revdbayes vs tidycmprsk: at a glance

Featurerevdbayestidycmprsk
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesextreme-value-theory, bayesian, rcpp, cran-compliancecompeting-risks, survival-analysis, tidyverse, gtsummary
Last editorial update34m ago36m ago
WebsiteVisit →Visit →

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 →

What is tidycmprsk?

Competing-risks modelling that now moves only when its neighbours do.

tidycmprsk wraps competing risks regression and cumulative incidence estimation in tidy-style output, so results slot into gtsummary tables and ggsurvfit plots. The last two releases are small: 1.1.2 sorts tidy.tidycuminc() output by stratum, 1.1.1 is an HTML5 documentation update for CRAN. The substantive work in the window is 1.1.0, which reorganised the gtsummary relationship.

Read the full tidycmprsk trajectory →

revdbayes vs tidycmprsk: editorial side-by-side

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.

T
tidycmprsk
ANALYTICS
0.0

Competing-risks modelling that now moves only when its neighbours do.

◆ Current state

tidycmprsk wraps competing risks regression and cumulative incidence estimation in tidy-style output, so results slot into gtsummary tables and ggsurvfit plots. The last two releases are small: 1.1.2 sorts tidy.tidycuminc() output by stratum, 1.1.1 is an HTML5 documentation update for CRAN. The substantive work in the window is 1.1.0, which reorganised the gtsummary relationship.

◆ Where it's heading

The package has spent its releases handing responsibilities to neighbouring packages rather than growing its own surface. Plotting was deprecated then made defunct in favour of ggsurvfit::ggcuminc(), and 1.1.0 moved the regression table methods so that gtsummary could drop tidycmprsk as a dependency. What remains is the estimation core plus the S3 methods that let other packages consume it, which is a deliberate narrowing.

◆ Prediction

Expect releases to continue tracking changes in gtsummary and the broader tidy survival stack rather than adding estimation features.

Alternatives to revdbayes and tidycmprsk

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 revdbayes or tidycmprsk.

See all revdbayes alternatives → · See all tidycmprsk alternatives →

Recent activity from revdbayes and tidycmprsk

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

  1. 4mo agotidycmprsktidycmprsk 1.1.2
  2. 4mo agorevdbayesMissing values now removed before generalised Pareto MLE fitting
  3. 7mo agorevdbayesRcpp patch applied to avoid masking Rf_error()
  4. 7mo agorevdbayesPatch for macOS CRAN check errors that proved to be false positives
  5. 9mo agotidycmprsktidycmprsk 1.1.1
  6. 1y agotidycmprsktidycmprsk 1.1.0
  7. 2y agorevdbayesArgument documentation corrected; Rd link anchors fixed
  8. 2y agorevdbayesRcpp warning fix plus Rd itemize corrections
  9. 2y agotidycmprsktidycmprsk 1.0.0
  10. 2y agorevdbayesC++11 specification dropped to clear a CRAN note
  11. 3y agotidycmprsktidycmprsk 0.2.0
  12. 4y agotidycmprsktidycmprsk 0.1.2

Frequently asked questions

What is the difference between revdbayes and tidycmprsk?

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

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. revdbayes and tidycmprsk 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 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.

What are the best alternatives to tidycmprsk?

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