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hubUtils vs stdmod

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

Shared themes:r-package

hubUtils vs stdmod: at a glance

FeaturehubUtilsstdmod
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themeshubverse, schema, epidemiology, r-packagemoderation-analysis, regression, statistics, r-package
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is hubUtils?

The hubverse's shared plumbing, tracking schema versions and converting output types.

hubUtils is the low-level dependency the rest of the hubverse builds on: schema version tracking, config file reading, example test hubs, and conversion between forecast output types. Its releases are small and cadenced to the hubverse schema itself, with a version bump arriving whenever the config schema advances. The recent work is performance rather than surface.

Read the full hubUtils 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 →

hubUtils vs stdmod: editorial side-by-side

H
hubUtils
ANALYTICS
0.0

The hubverse's shared plumbing, tracking schema versions and converting output types.

◆ Current state

hubUtils is the low-level dependency the rest of the hubverse builds on: schema version tracking, config file reading, example test hubs, and conversion between forecast output types. Its releases are small and cadenced to the hubverse schema itself, with a version bump arriving whenever the config schema advances. The recent work is performance rather than surface.

◆ Where it's heading

The through-line is that this package absorbs whatever the schema is doing — v5, then v6 with target-data configuration, each arriving with matching accessors and example hubs so the sibling packages can be tested against something real. convert_output_type() is the one piece of genuine computation here, and it has now been optimised by roughly an order of magnitude, suggesting it is being used at scales the original implementation did not anticipate. Everything else is accessors and fixtures.

◆ Prediction

Expect the next substantive release to track the next hubverse schema version, with any independent work concentrated on convert_output_type(), the only performance-sensitive function in the package.

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 hubUtils 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 hubUtils or stdmod.

See all hubUtils alternatives → · See all stdmod alternatives →

Recent activity from hubUtils and stdmod

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

  1. 22d agostdmodDocs now steer users to betaselectr and manymome
  2. 1mo agohubUtilsconvert_output_type() drops an order of magnitude in time and memory
  3. 7mo agohubUtilsGraceful failure when remote resources are unreachable
  4. 7mo agostdmodv0.2.12 at CRAN
  5. 9mo agohubUtilsAccessors for target-data.json configuration
  6. 9mo agohubUtilsSchema v6.0.0 support and two example v6 hubs
  7. 10mo agohubUtilsLightweight example v5 hubs added for tests
  8. 1y agohubUtilsconvert_output_type() introduced for sample-to-summary conversion
  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 hubUtils 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 hubUtils 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 hubUtils?

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