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Comparison · Analytics

broom.helpers vs segregatr

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

Shared themes:r-package

broom.helpers vs segregatr: at a glance

Featurebroom.helperssegregatr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesregression-tidying, r-package, gtsummary, deprecationstatistical-genetics, pedigree-analysis, variant-classification, pedsuite
Last editorial update45m ago43m ago
WebsiteVisit →Visit →

What is broom.helpers?

The tidying engine under gtsummary keeps widening its model coverage while retiring its own selector layer.

broom.helpers standardises the output of regression models so downstream packages can render them, and its release notes are essentially a running list of newly supported model classes. Recent versions added quantreg, svyVGAM, VGAM, glmtoolbox and mmrm support alongside a steady stream of fixes for fixest and survey models. In parallel it has spent three releases dismantling its own selector helpers in favour of the cards package.

Read the full broom.helpers 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 →

broom.helpers vs segregatr: editorial side-by-side

B
broom.helpers
ANALYTICS
0.0

The tidying engine under gtsummary keeps widening its model coverage while retiring its own selector layer.

◆ Current state

broom.helpers standardises the output of regression models so downstream packages can render them, and its release notes are essentially a running list of newly supported model classes. Recent versions added quantreg, svyVGAM, VGAM, glmtoolbox and mmrm support alongside a steady stream of fixes for fixest and survey models. In parallel it has spent three releases dismantling its own selector helpers in favour of the cards package.

◆ Where it's heading

Two arcs run in parallel. The first is accretive: each release absorbs another modelling package, which is the natural job of a translation layer and shows no sign of slowing. The second is subtractive and now complete — the dot-prefixed selector functions were deprecated in 1.17.0, hard deprecated in 1.20.0, and removed in 1.22.0, alongside the deprecation of tidy_marginal_means() and tidy_margins() as their upstream packages moved or left CRAN. The package is consolidating on parameters and marginaleffects as its computational backends while shedding machinery that now belongs to gtsummary's ecosystem.

◆ Prediction

The next release will most likely add support for another model class and continue trimming tidiers whose upstream packages have been superseded, following the pattern of the last six.

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 broom.helpers 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 broom.helpers or segregatr.

See all broom.helpers alternatives → · See all segregatr alternatives →

Recent activity from broom.helpers and segregatr

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

  1. 11mo agobroom.helpersQuantile regression support lands as legacy selectors are removed
  2. 11mo agosegregatrProband-free variant of the FLB score
  3. 1y agobroom.helpersExperimental tidier for survey-weighted VGAM models
  4. 1y agobroom.helpersNew grouping controls for tidied model results
  5. 1y agobroom.helpersMarginal means tidier hard deprecated
  6. 1y agobroom.helpersInstrumental variable support for fixest models
  7. 1y agobroom.helpersbroom.helpers 1.17.0
  8. 2y agosegregatrLiability classes now work in looped pedigrees
  9. 3y agosegregatrsegregatr 0.3.0

Frequently asked questions

What is the difference between broom.helpers and segregatr?

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

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

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