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rrum vs segregatr

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

Shared themes:r-package

rrum vs segregatr: at a glance

Featurerrumsegregatr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themespsychometrics, r-package, gibbs-sampling, maintenancestatistical-genetics, pedigree-analysis, variant-classification, pedsuite
Last editorial update45m ago42m ago
WebsiteVisit →Visit →

What is rrum?

Six years past its API cleanup, rrum ships only what the compiler demands.

rrum estimates the reduced Reparameterized Unified Model via a Gibbs sampler in Rcpp/Armadillo, with simulation delegated to its sibling package simcdm. The user-facing API has been settled since 2019, when the entry point was renamed and simulation was moved out. Releases since then have been build and CRAN compliance work.

Read the full rrum trajectory →

What is segregatr?

A segregation-analysis tool that keeps widening which pedigrees it can actually handle.

segregatr computes full-likelihood Bayes factors for variant segregation in families, built on pedtools and part of the wider pedsuite ecosystem. Its releases are infrequent but each one lifts a structural restriction: loops, recessive and X-linked models, liability classes, and most recently a proband-free variant of the score. The companion shinyseg app gives the same machinery a clinical front end.

Read the full segregatr trajectory →

rrum vs segregatr: editorial side-by-side

R
rrum
ANALYTICS
0.0

Six years past its API cleanup, rrum ships only what the compiler demands.

◆ Current state

rrum estimates the reduced Reparameterized Unified Model via a Gibbs sampler in Rcpp/Armadillo, with simulation delegated to its sibling package simcdm. The user-facing API has been settled since 2019, when the entry point was renamed and simulation was moved out. Releases since then have been build and CRAN compliance work.

◆ Where it's heading

The arc runs from an API-breaking consolidation in 2019, through a 2023 release fixing C++ deprecations and adding a pkgdown site, to a 2025 maintenance release that raises dependency floors and swaps a deprecated Armadillo conversion call. Each release is triggered by something outside the package — R-devel, CRAN check notes, an Armadillo deprecation — rather than by modeling work. The 2025 release arrived the same morning as a near-identical one for edina, marking it as a maintainer-wide sweep across the lab's packages.

◆ Prediction

The next release will most likely be another externally forced compatibility fix, since three consecutive releases have been reactions to toolchain deprecations rather than to user requests.

S
segregatr
ANALYTICS
0.0

A segregation-analysis tool that keeps widening which pedigrees it can actually handle.

◆ Current state

segregatr computes full-likelihood Bayes factors for variant segregation in families, built on pedtools and part of the wider pedsuite ecosystem. Its releases are infrequent but each one lifts a structural restriction: loops, recessive and X-linked models, liability classes, and most recently a proband-free variant of the score. The companion shinyseg app gives the same machinery a clinical front end.

◆ Where it's heading

The through-line is coverage of awkward real-world pedigrees rather than new statistics. Loops were handled for the core score in 0.3.0 and then extended to liability classes in 0.4.0, so the same structural capability is being pushed through the codebase feature by feature. The 2025 release moves in a different direction, relaxing the requirement for a designated proband. Development is slow and steady, roughly annual, and tracks its pedtools dependency closely.

◆ Prediction

Expect the next release to continue relaxing modelling constraints — the pattern of retrofitting each new capability across loops, liability classes and inheritance models is unfinished — rather than expanding beyond segregation scoring.

Alternatives to rrum and segregatr

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 rrum or segregatr.

See all rrum alternatives → · See all segregatr alternatives →

Recent activity from rrum and segregatr

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

  1. 10mo agorrumrrum 0.2.2 - Maintenance Release
  2. 11mo agosegregatrProband-free variant of the FLB score
  3. 2y agosegregatrLiability classes now work in looped pedigrees
  4. 2y agorrumR-devel C++ fixes, pkgdown site, CI moved to GitHub Actions
  5. 3y agosegregatrsegregatr 0.3.0
  6. 7y agorrumCRAN release breaks the API and moves simulation to simcdm

Frequently asked questions

What is the difference between rrum and segregatr?

Both compete on the same themes — r-package — within Analytics. rrum and segregatr 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 rrum better than segregatr?

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

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

What are the best alternatives to segregatr?

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