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popbayes vs stdmod

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

Shared themes:r-packagemaintenance

popbayes vs stdmod: at a glance

Featurepopbayesstdmod
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesbayesian, ecology, population-trends, r-packagemoderation-analysis, regression, statistics, r-package
Last editorial update44m ago1h ago
WebsiteVisit →Visit →

What is popbayes?

A wildlife population-trend package in low-maintenance mode.

popbayes fits Bayesian trends to animal population count series that mix ground counts, aerial counts and expert estimates. The visible history is short and slow: three releases across four years, with the most recent, 1.3, swapping usethis for cli in error messages and tidying the website. The substantive work in the window is 1.1, which reorganised how format_data() handles a dataset.

Read the full popbayes 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 →

popbayes vs stdmod: editorial side-by-side

P
popbayes
ANALYTICS
0.0

A wildlife population-trend package in low-maintenance mode.

◆ Current state

popbayes fits Bayesian trends to animal population count series that mix ground counts, aerial counts and expert estimates. The visible history is short and slow: three releases across four years, with the most recent, 1.3, swapping usethis for cli in error messages and tidying the website. The substantive work in the window is 1.1, which reorganised how format_data() handles a dataset.

◆ Where it's heading

Development has settled into maintenance carried largely by outside contributors, with the current release consisting of a dependency swap and message fixes from two different contributors. The one release with real design work, 1.1, moved format_data() from operating on a whole dataset to operating per count series, letting different series of the same species carry different conversion assumptions. Nothing since has changed the modelling surface.

◆ Prediction

The entries do not support a confident prediction beyond further contributor-driven maintenance; there is no visible signal of new modelling work.

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 popbayes 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 popbayes or stdmod.

See all popbayes alternatives → · See all stdmod alternatives →

Recent activity from popbayes and stdmod

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

  1. 22d agostdmodDocs now steer users to betaselectr and manymome
  2. 3mo agopopbayespopbayes 1.3
  3. 7mo agostdmodv0.2.12 at CRAN
  4. 2y agostdmodSummary printout gains rounding and p-value formatting control
  5. 2y agostdmodR-squared increase reporting and chosen moderator values
  6. 3y agopopbayespopbayes 1.2
  7. 3y agostdmodv0.2.0.0 at CRAN
  8. 4y agostdmodv0.1.7.4 at CRAN
  9. 4y agopopbayespopbayes 1.1

Frequently asked questions

What is the difference between popbayes and stdmod?

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 popbayes 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 popbayes?

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