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Comparison · Infra & APIs

cofad vs rvMF

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

cofad vs rvMF: at a glance

FeaturecofadrvMF
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themescontrast-analysis, factorial-designs, shiny, psychology-methodsdirectional-statistics, random-generation, rcpp, cran
Last editorial update1h ago2h ago
WebsiteVisit →Visit →

What is cofad?

Contrast analysis with a Shiny front end, shipping about one release a year

cofad performs contrast analyses for factorial designs in both between- and within-subject forms, and ships a Shiny GUI alongside the R interface. The 0.3.0 release in 2024 was the substantial one: a helper for calculating differences between two sets of lambdas for competing contrast analysis, improved summary output, removal of the plyr dependency, a rebuilt Shiny interface using standard elements after the sortable drag-and-drop proved unstable, and a change of maintainer to Johannes Titz. The most recent release is a one-line patch fixing degrees of freedom in the t-test table.

Read the full cofad trajectory →

What is rvMF?

A fast von Mises-Fisher sampler that ships a citation more often than a feature.

rvMF generates pseudo-random vectors from the von Mises-Fisher distribution, the standard model for directional data on a sphere. Its released surface has not changed materially in the window: the three most recent tags cover a dropped dependency, a citation update, and a C++ linking correction. The February 2026 release removes the scModels import.

Read the full rvMF trajectory →

cofad vs rvMF: editorial side-by-side

C
cofad
INFRA · APIS
0.0

Contrast analysis with a Shiny front end, shipping about one release a year

◆ Current state

cofad performs contrast analyses for factorial designs in both between- and within-subject forms, and ships a Shiny GUI alongside the R interface. The 0.3.0 release in 2024 was the substantial one: a helper for calculating differences between two sets of lambdas for competing contrast analysis, improved summary output, removal of the plyr dependency, a rebuilt Shiny interface using standard elements after the sortable drag-and-drop proved unstable, and a change of maintainer to Johannes Titz. The most recent release is a one-line patch fixing degrees of freedom in the t-test table.

◆ Where it's heading

Development is slow and correctness-led. The record runs from a JOSS publication in 2021 through a near three-year gap to a release that both extended the method and repaired the GUI, then a degrees-of-freedom fix. Maintainer and author order changed in 0.3.0, which typically marks a handover rather than a burst of new work, and the cadence since is consistent with that.

◆ Prediction

Expect low-frequency correctness releases; the competing contrast analysis helper added in 0.3.0 is the most likely thing to be extended if anything is.

R
rvMF
INFRA · APIS
0.0

A fast von Mises-Fisher sampler that ships a citation more often than a feature.

◆ Current state

rvMF generates pseudo-random vectors from the von Mises-Fisher distribution, the standard model for directional data on a sphere. Its released surface has not changed materially in the window: the three most recent tags cover a dropped dependency, a citation update, and a C++ linking correction. The February 2026 release removes the scModels import.

◆ Where it's heading

This is a single-purpose sampler that reached its intended scope early and has been maintained rather than extended since. The visible work is dependency reduction and paper-and-citation housekeeping, which is the normal shape for a method package whose implementation is described in a published paper and whose correctness argument lives there rather than in the changelog.

◆ Prediction

More of the same: occasional releases to keep the C++ layer building and the dependency list short. Nothing in the notes points toward new distributions or new sampling methods.

Alternatives to cofad and rvMF

Other Infra & APIs 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 cofad or rvMF.

See all cofad alternatives → · See all rvMF alternatives →

Recent activity from cofad and rvMF

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

  1. 6mo agorvMFDrops the scModels dependency
  2. 1y agocofadDegrees of freedom corrected in the t-test table
  3. 2y agocofadCompeting contrast helper, rebuilt Shiny GUI, maintainer change
  4. 2y agorvMFAdds citation for the Statistics and Computing paper
  5. 2y agorvMFC++ function linkage corrected
  6. 4y agocofadDocumentation and references for JOSS publication
  7. 4y agocofadShiny GUI added; aggregated-data function and 0-variance fix

Frequently asked questions

What is the difference between cofad and rvMF?

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

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. cofad and rvMF 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 Infra & APIs products to evaluate alongside.

What are the best alternatives to cofad?

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

What are the best alternatives to rvMF?

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