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manymome vs revdbayes

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

manymome vs revdbayes: at a glance

Featuremanymomerevdbayes
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmediation-analysis, sem, r-package, cranextreme-value-theory, bayesian, rcpp, cran-compliance
Last editorial update47m ago43m ago
WebsiteVisit →Visit →

What is manymome?

Steady quarterly releases behind a feed that shows almost none of what changed.

manymome computes indirect and moderated effects for path-analysis and SEM models using bootstrap and Monte Carlo intervals. The four most recent CRAN releases (0.3.2 through 0.3.6) publish as bare pointers to the package's own NEWS page, so the feed carries no changelog text for any of them. Where content is visible, at 0.3.1 and 0.2.9, the work is fitting-engine breadth and speed rather than new methodology.

Read the full manymome trajectory →

What is revdbayes?

Extreme value sampling in pure upkeep mode, mostly answering to Rcpp and CRAN.

revdbayes performs Bayesian extreme value analysis using ratio-of-uniforms sampling, giving random samples rather than MCMC chains. Every entry in the visible window is filed under bug fixes and minor improvements. The most recent, 1.5.7, strips missing values before fitting the generalised Pareto MLE; the two before it are an Rcpp compatibility patch and a response to CRAN check failures that turned out to be false positives.

Read the full revdbayes trajectory →

manymome vs revdbayes: editorial side-by-side

M
manymome
ANALYTICS
0.0

Steady quarterly releases behind a feed that shows almost none of what changed.

◆ Current state

manymome computes indirect and moderated effects for path-analysis and SEM models using bootstrap and Monte Carlo intervals. The four most recent CRAN releases (0.3.2 through 0.3.6) publish as bare pointers to the package's own NEWS page, so the feed carries no changelog text for any of them. Where content is visible, at 0.3.1 and 0.2.9, the work is fitting-engine breadth and speed rather than new methodology.

◆ Where it's heading

The legible arc runs toward turning the q_* quick-mediation wrappers into a complete workflow: lavaan::sem fitting with full information maximum likelihood for missing data, a plot method, and user-specified mediation models, alongside repeated optimization of do_boot() and do_mc(). Cadence is roughly quarterly and has held for two years. What the last four versions actually contain cannot be read from this feed.

◆ Prediction

Expect continued quarterly CRAN releases extending the q_* family; beyond that the entries shown do not support a confident call on direction.

R
revdbayes
ANALYTICS
0.0

Extreme value sampling in pure upkeep mode, mostly answering to Rcpp and CRAN.

◆ Current state

revdbayes performs Bayesian extreme value analysis using ratio-of-uniforms sampling, giving random samples rather than MCMC chains. Every entry in the visible window is filed under bug fixes and minor improvements. The most recent, 1.5.7, strips missing values before fitting the generalised Pareto MLE; the two before it are an Rcpp compatibility patch and a response to CRAN check failures that turned out to be false positives.

◆ Where it's heading

The methods are settled and the release traffic is external: Rcpp issues, CRAN platform checks, documentation anchor requirements. Two of the six releases exist only because CRAN's check farm flagged something, and one of those flags resolved itself. Sibling package profileCI from the same maintainer has been more active, which suggests attention has moved to newer work rather than away from R entirely.

◆ Prediction

Expect further small releases driven by Rcpp or CRAN check changes rather than by the sampling methods.

Alternatives to manymome and revdbayes

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 manymome or revdbayes.

See all manymome alternatives → · See all revdbayes alternatives →

Recent activity from manymome and revdbayes

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

  1. 2mo agomanymome0.3.6 CRAN release
  2. 4mo agomanymome0.3.4 CRAN release
  3. 4mo agorevdbayesMissing values now removed before generalised Pareto MLE fitting
  4. 7mo agorevdbayesRcpp patch applied to avoid masking Rf_error()
  5. 7mo agorevdbayesPatch for macOS CRAN check errors that proved to be false positives
  6. 7mo agomanymome0.3.3 CRAN release
  7. 8mo agomanymome0.3.2 CRAN release
  8. 11mo agomanymome0.3.1 CRAN release
  9. 1y agomanymome0.2.9 CRAN release
  10. 2y agorevdbayesArgument documentation corrected; Rd link anchors fixed
  11. 2y agorevdbayesRcpp warning fix plus Rd itemize corrections
  12. 2y agorevdbayesC++11 specification dropped to clear a CRAN note

Frequently asked questions

What is the difference between manymome and revdbayes?

They serve adjacent needs but don't currently overlap on shipped themes. manymome and revdbayes 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 manymome better than revdbayes?

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

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

What are the best alternatives to revdbayes?

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