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hubExamples vs stdmod

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

Shared themes:r-package

hubExamples vs stdmod: at a glance

FeaturehubExamplesstdmod
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themeshubverse, forecasting, example-data, r-packagemoderation-analysis, regression, statistics, r-package
Last editorial update44m ago1h ago
WebsiteVisit →Visit →

What is hubExamples?

Example data for the hubverse, moving whenever the standards it demonstrates move.

hubExamples ships the reference datasets that hubverse vignettes and downstream packages use to demonstrate forecast and target data. Its releases track the hubverse specification rather than any independent roadmap: 1.0.0 exists because the target time series standard changed, and 0.1.0 because the oracle output terminology did. The current release, 1.0.1, is a single fix for column deserialisation on systems without arrow.

Read the full hubExamples trajectory →

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 →

hubExamples vs stdmod: editorial side-by-side

H
hubExamples
ANALYTICS
0.0

Example data for the hubverse, moving whenever the standards it demonstrates move.

◆ Current state

hubExamples ships the reference datasets that hubverse vignettes and downstream packages use to demonstrate forecast and target data. Its releases track the hubverse specification rather than any independent roadmap: 1.0.0 exists because the target time series standard changed, and 0.1.0 because the oracle output terminology did. The current release, 1.0.1, is a single fix for column deserialisation on systems without arrow.

◆ Where it's heading

This is a downstream member of the hubverse package family, alongside hubUtils, hubData and hubValidations, and it moves when they define something new. The pattern across all four entries is the same: a standard changes upstream, hubExamples updates its data objects and vignettes to match. Sibling package hubAdmin has not shipped since November 2025, so the cohort is not currently in a coordinated wave.

◆ Prediction

The next release will most likely follow the next hubverse data-standard revision rather than lead it.

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.

Alternatives to hubExamples and stdmod

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 hubExamples or stdmod.

See all hubExamples alternatives → · See all stdmod alternatives →

Recent activity from hubExamples and stdmod

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

  1. 22d agostdmodDocs now steer users to betaselectr and manymome
  2. 3mo agohubExampleshubExamples 1.0.1
  3. 7mo agostdmodv0.2.12 at CRAN
  4. 7mo agohubExampleshubExamples 1.0.0
  5. 1y agohubExampleshubExamples 0.1.0
  6. 1y agohubExampleshubExamples 0.0.1
  7. 2y agostdmodSummary printout gains rounding and p-value formatting control
  8. 2y agostdmodR-squared increase reporting and chosen moderator values
  9. 3y agostdmodv0.2.0.0 at CRAN
  10. 4y agostdmodv0.1.7.4 at CRAN

Frequently asked questions

What is the difference between hubExamples and stdmod?

Both compete on the same themes — r-package — 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 hubExamples better than stdmod?

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 hubExamples?

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

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.