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Comparison · Analytics

edina vs segregatr

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

Shared themes:r-package

edina vs segregatr: at a glance

Featureedinasegregatr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themespsychometrics, r-package, maintenance, cran-compliancestatistical-genetics, pedigree-analysis, variant-classification, pedsuite
Last editorial update46m ago43m ago
WebsiteVisit →Visit →

What is edina?

A finished psychometric estimator kept alive by toolchain upkeep, not new modeling work.

edina is a single-purpose Rcpp/Armadillo implementation of the Exploratory DINA model, feature-complete since its 2020 debut. Its entire visible surface — estimation plus Q-matrix comparison across k values — has not changed in five years. The only 2025 activity is a maintenance release that raises the R, Rcpp and RcppArmadillo floors so the package still compiles.

Read the full edina 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 →

edina vs segregatr: editorial side-by-side

E
edina
ANALYTICS
0.0

A finished psychometric estimator kept alive by toolchain upkeep, not new modeling work.

◆ Current state

edina is a single-purpose Rcpp/Armadillo implementation of the Exploratory DINA model, feature-complete since its 2020 debut. Its entire visible surface — estimation plus Q-matrix comparison across k values — has not changed in five years. The only 2025 activity is a maintenance release that raises the R, Rcpp and RcppArmadillo floors so the package still compiles.

◆ Where it's heading

The gap between 0.1.1 and 0.1.2 is over five years, and 0.1.2 contains no modeling changes at all: dependency floors, a Makevars cleanup for newer Armadillo, a Quarto README, a CITATION fix for CRAN notes, and refreshed CI. This is custodial maintenance of a research artifact rather than active development. The same release landed across the maintainer's other packages the same morning — rrum got a near-identical body ten minutes earlier — which marks it as a lab-wide compatibility sweep, not an edina-specific push.

◆ Prediction

Expect the next release to be another compatibility bump triggered by an Armadillo or Rcpp change rather than new estimation features, on a similar multi-year cadence.

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 edina 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 edina or segregatr.

See all edina alternatives → · See all segregatr alternatives →

Recent activity from edina and segregatr

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

  1. 10mo agoedinaedina 0.1.2 - Maintenance Release
  2. 11mo agosegregatrProband-free variant of the FLB score
  3. 2y agosegregatrLiability classes now work in looped pedigrees
  4. 3y agosegregatrsegregatr 0.3.0
  5. 6y agoedinaSolaris build fix and CRAN badges
  6. 6y agoedinaEDINA model estimation with Q-matrix comparison arrives

Frequently asked questions

What is the difference between edina and segregatr?

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

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

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