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lazyeval vs revdbayes

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

Shared themes:maintenance

lazyeval vs revdbayes: at a glance

Featurelazyevalrevdbayes
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesnon-standard-evaluation, r-c-api, dormancy-revival, tidyverseextreme-value-theory, bayesian, rcpp, cran-compliance
Last editorial update31m ago30m ago
WebsiteVisit →Visit →

What is lazyeval?

A package retired in 2017 just got rewritten against R's public C API.

lazyeval was the tidyverse's pre-rlang non-standard evaluation layer, formally set aside in 2017 when tidy evaluation replaced it. After eight and a half years without a release, 0.2.3 arrives as a compliance rewrite: the implementation now uses R's public C API, and the release note states it may differ from the historical one in subtle ways. Nothing about the package's role has changed.

Read the full lazyeval 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 →

lazyeval vs revdbayes: editorial side-by-side

L
lazyeval
ANALYTICS
0.0

A package retired in 2017 just got rewritten against R's public C API.

◆ Current state

lazyeval was the tidyverse's pre-rlang non-standard evaluation layer, formally set aside in 2017 when tidy evaluation replaced it. After eight and a half years without a release, 0.2.3 arrives as a compliance rewrite: the implementation now uses R's public C API, and the release note states it may differ from the historical one in subtle ways. Nothing about the package's role has changed.

◆ Where it's heading

This is a dormancy revival driven entirely from outside, R core tightening what counts as the public C API forces packages using older internals to be rewritten or be archived. lazyeval is still a dependency deep in older package trees, so keeping it installable matters more than developing it. The caveat about subtle behavioural differences is the notable part: a package nobody is developing has changed behaviour in ways its release note declines to enumerate.

◆ Prediction

Expect no further development, only additional compliance releases if R core tightens the C API again.

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 lazyeval 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 lazyeval or revdbayes.

See all lazyeval alternatives → · See all revdbayes alternatives →

Recent activity from lazyeval and revdbayes

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

  1. 4mo agolazyevalReimplemented against R's public C API after eight years dormant
  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. 2y agorevdbayesArgument documentation corrected; Rd link anchors fixed
  6. 2y agorevdbayesRcpp warning fix plus Rd itemize corrections
  7. 2y agorevdbayesC++11 specification dropped to clear a CRAN note
  8. 8y agolazyevalDevelopment ends as the tidyverse moves to tidy evaluation
  9. 10y agolazyevalFormula-based lazy evaluation system introduced
  10. 11y agolazyevallazyeval 0.1.10
  11. 11y agolazyevallazyeval 0.1.9

Frequently asked questions

What is the difference between lazyeval and revdbayes?

Both compete on the same themes — maintenance — within Analytics. lazyeval 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 lazyeval better than revdbayes?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. lazyeval 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 lazyeval?

Top lazyeval alternatives in Analytics are ranked by recent ship velocity. Browse the "lazyeval alternatives" section above for the current picks, or visit /alternatives/lazyeval 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.