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stdmod vs TrialEmulation

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

Shared themes:r-packagemaintenance

stdmod vs TrialEmulation: at a glance

FeaturestdmodTrialEmulation
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themesmoderation-analysis, regression, statistics, r-packagecausal-inference, target-trial-emulation, duckdb, maintenance
Last editorial update1h ago40m ago
WebsiteVisit →Visit →

What is stdmod?

A moderation-analysis package now pointing users at its own siblings for the harder work.

stdmod computes standardized moderation effects in regression, part of a cluster of R packages from the same author covering moderation, mediation and model comparison. Its release feed is a CRAN-announcement format — several entries carry nothing but a version and a link — and its development has slowed markedly, with the substantive feature work sitting back in 2024. The most recent release is documentation rather than code.

Read the full stdmod 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 →

stdmod vs TrialEmulation: editorial side-by-side

S
stdmod
ANALYTICS
2.5

A moderation-analysis package now pointing users at its own siblings for the harder work.

◆ Current state

stdmod computes standardized moderation effects in regression, part of a cluster of R packages from the same author covering moderation, mediation and model comparison. Its release feed is a CRAN-announcement format — several entries carry nothing but a version and a link — and its development has slowed markedly, with the substantive feature work sitting back in 2024. The most recent release is documentation rather than code.

◆ Where it's heading

The clearest signal is the latest release redirecting users toward betaselectr and manymome for tasks stdmod also covers, on the grounds that those packages handle them more comprehensively. That is a package consciously narrowing its scope within a family rather than competing with its siblings. The earlier feature work — conditional effects at chosen moderator values, R-squared increase reporting, print formatting — reads as a stable core that has since been left alone.

◆ Prediction

Expect stdmod to stay in maintenance while the author's newer packages absorb the overlapping functionality, with future releases likely limited to CRAN compliance and documentation.

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 stdmod 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 stdmod or TrialEmulation.

See all stdmod alternatives → · See all TrialEmulation alternatives →

Recent activity from stdmod and TrialEmulation

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

  1. 22d agostdmodDocs now steer users to betaselectr and manymome
  2. 4mo agoTrialEmulationDocumentation references to the archived parglm removed
  3. 7mo agoTrialEmulationparglm dependency dropped after CRAN archiving
  4. 7mo agostdmodv0.2.12 at CRAN
  5. 9mo agoTrialEmulationTest fixes for updated testthat, plus link updates
  6. 9mo agoTrialEmulationCompatibility fixes ahead of testthat 3.3.0
  7. 1y agoTrialEmulationTests updated for duckdb 1.3.0 sampling; R 4.1 now required
  8. 1y agoTrialEmulationTests updated for duckdb 1.2.0 sampling changes
  9. 2y agostdmodSummary printout gains rounding and p-value formatting control
  10. 2y agostdmodR-squared increase reporting and chosen moderator values
  11. 3y agostdmodv0.2.0.0 at CRAN
  12. 4y agostdmodv0.1.7.4 at CRAN

Frequently asked questions

What is the difference between stdmod and TrialEmulation?

Both compete on the same themes — r-package, maintenance — within Analytics. stdmod is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is stdmod better than TrialEmulation?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. stdmod is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to stdmod?

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