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mcmcensemble vs segregatr

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

Shared themes:r-package

mcmcensemble vs segregatr: at a glance

Featuremcmcensemblesegregatr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmcmc, bayesian-inference, ensemble-sampling, reproducibilitystatistical-genetics, pedigree-analysis, variant-classification, pedsuite
Last editorial update40m ago43m ago
WebsiteVisit →Visit →

What is mcmcensemble?

An ensemble sampler just admitted its walkers were barely talking to each other.

mcmcensemble provides affine-invariant ensemble MCMC samplers — differential evolution and stretch move — behind a single MCMCEnsemble() entry point. The API consolidated in 3.0.0 around a flexible inits argument and a hidden internal surface, with parallelism delegated to the future framework. The 2025 release fixed a defect in the sampling behaviour itself, and results now differ from every earlier version.

Read the full mcmcensemble 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 →

mcmcensemble vs segregatr: editorial side-by-side

M
mcmcensemble
ANALYTICS
0.0

An ensemble sampler just admitted its walkers were barely talking to each other.

◆ Current state

mcmcensemble provides affine-invariant ensemble MCMC samplers — differential evolution and stretch move — behind a single MCMCEnsemble() entry point. The API consolidated in 3.0.0 around a flexible inits argument and a hidden internal surface, with parallelism delegated to the future framework. The 2025 release fixed a defect in the sampling behaviour itself, and results now differ from every earlier version.

◆ Where it's heading

Development has moved from packaging to statistics. The early releases were about shape: a rename, argument alignment, moving coda to Suggests, adding tests, then parallel execution and named-vector support. The 3.0.0 release closed the API down to one wrapper and generalised initialisation. What is left, as 3.2.0 shows, is the correctness of the sampler itself — walker correlation, ergodicity checks, and grid artefacts in the differential evolution step were all addressed in a single release, all reported by one contributor. The package is being audited rather than extended.

◆ Prediction

Further sampler-behaviour fixes are the most likely next move, since three separate correctness issues surfaced together in the last release and the package's API has been stable since 3.0.0.

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 mcmcensemble 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 mcmcensemble or segregatr.

See all mcmcensemble alternatives → · See all segregatr alternatives →

Recent activity from mcmcensemble and segregatr

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

  1. 11mo agosegregatrProband-free variant of the FLB score
  2. 1y agomcmcensembleWalker correlation bug fixed, changing results at any seed
  3. 2y agosegregatrLiability classes now work in looped pedigrees
  4. 2y agomcmcensembleClearer error when only one walker is supplied
  5. 2y agomcmcensembleAPI narrows to one entry point with flexible initialisation
  6. 3y agosegregatrsegregatr 0.3.0
  7. 5y agomcmcensembleNamed parameter vectors and recorded sampler metadata
  8. 5y agomcmcensembleParallel ensemble sampling via the future framework
  9. 5y agomcmcensemblePackage renamed to mcmcensemble with aligned arguments and tests

Frequently asked questions

What is the difference between mcmcensemble and segregatr?

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

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

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