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glyfun vs pedmut

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

Shared themes:r packages

glyfun vs pedmut: at a glance

Featureglyfunpedmut
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesglycomics, enrichment analysis, bioconductor, r packagespedigree analysis, mutation models, forensic genetics, allele lumping
Last editorial update36m ago28m ago
WebsiteVisit →Visit →

What is glyfun?

glyfun is three releases old and has spent all of them chasing glyexp's container change.

glyfun is the newest glycoverse package, carved out to hold the enrichment analysis functions that glystats deprecated. Its entire visible history is the 0.1.x series, and all three releases are container plumbing: detected_universe() learning to accept GlycoproteomicSE, then the vignette and documentation following. There is no independent feature work in the record yet.

Read the full glyfun trajectory →

What is pedmut?

pedmut turns awkward mutation models into ones the likelihood engine can actually handle.

pedmut builds and transforms the mutation models used in pedigree likelihood calculations. Its recent arc is a toolkit of model transformations: makeReversible() with three methods, makeStationary() replacing the older stabilize(), adjustRate() for tuning overall mutation rate, and lumpMutSpecial() for lumping models that strong lumpability cannot handle. The most recent release is narrow, adding a programmatic output format to getParams().

Read the full pedmut trajectory →

glyfun vs pedmut: editorial side-by-side

G
glyfun
ANALYTICS
0.0

glyfun is three releases old and has spent all of them chasing glyexp's container change.

◆ Current state

glyfun is the newest glycoverse package, carved out to hold the enrichment analysis functions that glystats deprecated. Its entire visible history is the 0.1.x series, and all three releases are container plumbing: detected_universe() learning to accept GlycoproteomicSE, then the vignette and documentation following. There is no independent feature work in the record yet.

◆ Where it's heading

This is a package being born into a migration rather than one navigating it. Because glystats removed its gly_enrich_*() functions outright and glysmith already routes enrichment through glyfun, the functional surface is inherited rather than designed here. The near-term arc is catching up to the rest of the stack; the interesting question is what glyfun adds once it is no longer just the relocation target.

◆ Prediction

Expect the first release with genuinely new enrichment capability rather than migration plumbing, most likely broadening the gene-set sources glystats never covered.

P
pedmut
ANALYTICS
0.0

pedmut turns awkward mutation models into ones the likelihood engine can actually handle.

◆ Current state

pedmut builds and transforms the mutation models used in pedigree likelihood calculations. Its recent arc is a toolkit of model transformations: makeReversible() with three methods, makeStationary() replacing the older stabilize(), adjustRate() for tuning overall mutation rate, and lumpMutSpecial() for lumping models that strong lumpability cannot handle. The most recent release is narrow, adding a programmatic output format to getParams().

◆ Where it's heading

The consistent goal is making models satisfy the mathematical properties downstream algorithms require. Reversibility, stationarity, and lumpability each unlock something in pedprobr, and the package keeps adding ways to coerce an arbitrary model into having them. lumpMutSpecial() is explicitly incomplete, described as covering only some cases with more possibly to follow, which sets up the main open thread.

◆ Prediction

Expect additional special lumping cases to be implemented, since the package documents the current coverage as partial and pedprobr's likelihood performance depends directly on it.

Alternatives to glyfun and pedmut

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 glyfun or pedmut.

See all glyfun alternatives → · See all pedmut alternatives →

Recent activity from glyfun and pedmut

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

  1. 1mo agoglyfunDocs move to GlycoproteomicSE inputs
  2. 1mo agoglyfunVignette runs against both container types
  3. 1mo agoglyfundetected_universe() accepts GlycoproteomicSE objects
  4. 2mo agopedmutgetParams() gains a programmatic output format
  5. 1y agopedmutSpecial lumping arrives for un-lumpable models
  6. 1y agopedmutReversibility transformations and rate adjustment
  7. 2y agopedmutMutation rate and boundedness diagnostics
  8. 3y agopedmutPM stabilisation and multi-lump strong lumpability
  9. 3y agopedmutlumpedModel() wrapper and lumping speedups

Frequently asked questions

What is the difference between glyfun and pedmut?

Both compete on the same themes — r packages — within Analytics. glyfun and pedmut 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 glyfun better than pedmut?

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

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

What are the best alternatives to pedmut?

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