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betaselectr vs lazyeval

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

betaselectr vs lazyeval: at a glance

Featurebetaselectrlazyeval
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesstandardised-coefficients, regression, psychometrics, crannon-standard-evaluation, r-c-api, dormancy-revival, tidyverse
Last editorial update22m ago1h ago
WebsiteVisit →Visit →

What is betaselectr?

Standardised coefficients for models where standardising everything is wrong — but the feed only links out

betaselectr computes standardised coefficients selectively, for models where blanket standardisation misleads — interaction terms, categorical predictors and moderated effects, where standardising the product term or a dummy variable produces a number that does not mean what readers assume. It has been on CRAN since November 2024 across three releases. What those releases contain cannot be determined from this feed.

Read the full betaselectr trajectory →

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 →

betaselectr vs lazyeval: editorial side-by-side

B
betaselectr
ANALYTICS
0.0

Standardised coefficients for models where standardising everything is wrong — but the feed only links out

◆ Current state

betaselectr computes standardised coefficients selectively, for models where blanket standardisation misleads — interaction terms, categorical predictors and moderated effects, where standardising the product term or a dummy variable produces a number that does not mean what readers assume. It has been on CRAN since November 2024 across three releases. What those releases contain cannot be determined from this feed.

◆ Where it's heading

This changelog carries no release content. Every entry is a pointer to the CRAN page and to a changelog hosted on the package's own site, so the direction of development is not readable from what is published here. What the version numbers alone support is a package that reached CRAN in late 2024 and has issued two patch releases since, at roughly six-month intervals, without a minor version bump.

◆ Prediction

No prediction is supportable from these entries; the feed would need to carry actual release notes, or the package's own site would need to be read directly, before its direction could be called.

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.

Alternatives to betaselectr and lazyeval

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 betaselectr or lazyeval.

See all betaselectr alternatives → · See all lazyeval alternatives →

Recent activity from betaselectr and lazyeval

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

  1. 4mo agolazyevalReimplemented against R's public C API after eight years dormant
  2. 9mo agobetaselectrCRAN Release 0.1.3
  3. 1y agobetaselectrCRAN Release 0.1.2
  4. 1y agobetaselectrCRAN Release 0.1.0
  5. 8y agolazyevalDevelopment ends as the tidyverse moves to tidy evaluation
  6. 10y agolazyevalFormula-based lazy evaluation system introduced
  7. 11y agolazyevallazyeval 0.1.10
  8. 11y agolazyevallazyeval 0.1.9

Frequently asked questions

What is the difference between betaselectr and lazyeval?

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

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

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

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.