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lazyeval vs TrialEmulation

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

Shared themes:maintenance

lazyeval vs TrialEmulation: at a glance

FeaturelazyevalTrialEmulation
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesnon-standard-evaluation, r-c-api, dormancy-revival, tidyversecausal-inference, target-trial-emulation, duckdb, maintenance
Last editorial update56m ago56m 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 TrialEmulation?

Target trial emulation held steady by dependency maintenance, not new methods.

TrialEmulation implements target trial emulation from observational data, using duckdb to handle the expanded per-period datasets that approach generates. Every release in the visible window is upkeep: two consecutive releases removing the archived parglm dependency, two fixing tests against testthat updates, and two tracking duckdb sampling changes. No methodological work appears in the feed since before February 2025.

Read the full TrialEmulation trajectory →

lazyeval vs TrialEmulation: 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.

T0.0

Target trial emulation held steady by dependency maintenance, not new methods.

◆ Current state

TrialEmulation implements target trial emulation from observational data, using duckdb to handle the expanded per-period datasets that approach generates. Every release in the visible window is upkeep: two consecutive releases removing the archived parglm dependency, two fixing tests against testthat updates, and two tracking duckdb sampling changes. No methodological work appears in the feed since before February 2025.

◆ Where it's heading

The package is being kept installable rather than extended. Its dependency surface, duckdb for storage, parglm for fitting, testthat for checks, generates most of the release traffic, and CRAN archiving parglm forced two separate releases three months apart to fully excise it. The version numbering, still in the 0.0.4.x range after years, suggests the maintainers do not consider the API settled enough to promote.

◆ Prediction

Further releases will most likely be triggered by upstream dependency changes; the entries give no signal on when methodological work resumes.

Alternatives to lazyeval and TrialEmulation

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 TrialEmulation.

See all lazyeval alternatives → · See all TrialEmulation alternatives →

Recent activity from lazyeval and TrialEmulation

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

  1. 4mo agoTrialEmulationDocumentation references to the archived parglm removed
  2. 4mo agolazyevalReimplemented against R's public C API after eight years dormant
  3. 7mo agoTrialEmulationparglm dependency dropped after CRAN archiving
  4. 9mo agoTrialEmulationTest fixes for updated testthat, plus link updates
  5. 9mo agoTrialEmulationCompatibility fixes ahead of testthat 3.3.0
  6. 1y agoTrialEmulationTests updated for duckdb 1.3.0 sampling; R 4.1 now required
  7. 1y agoTrialEmulationTests updated for duckdb 1.2.0 sampling changes
  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 TrialEmulation?

Both compete on the same themes — maintenance — within Analytics. lazyeval and TrialEmulation 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 TrialEmulation?

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

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