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Comparison · Analytics

ieegio vs pedmut

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

ieegio vs pedmut: at a glance

Featureieegiopedmut
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr, neuroimaging, ieeg, file formatspedigree analysis, mutation models, forensic genetics, allele lumping
Last editorial update36m ago1h ago
WebsiteVisit →Visit →

What is ieegio?

ieegio's first release lands electrode trajectory burning and a WebGL-free surface plot

ieegio handles file I/O and volume manipulation for intracranial EEG and neuroimaging data in R. Only one release is on record, 0.1.0 from May 2026, so there is no cadence to read yet. Its content is a mix of new volume-authoring capability and format-level correctness fixes.

Read the full ieegio 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 →

ieegio vs pedmut: editorial side-by-side

I
ieegio
ANALYTICS
0.0

ieegio's first release lands electrode trajectory burning and a WebGL-free surface plot

◆ Current state

ieegio handles file I/O and volume manipulation for intracranial EEG and neuroimaging data in R. Only one release is on record, 0.1.0 from May 2026, so there is no cadence to read yet. Its content is a mix of new volume-authoring capability and format-level correctness fixes.

◆ Where it's heading

The release points at two audiences at once: burn_curve() writes electrode trajectories — depth/sEEG leads, DBS shafts — into a volume from start and end positions in native RAS coordinates, with a merge mode so trajectories compost onto an existing volume rather than overwriting it. Separately, a base R graphics plot method for surfaces provides a path for environments without WebGL, where the default r3js renderer cannot run. Format work covers BCI2000 and BrainVision channel lookup by label and a quaternion handedness fix aligning with FreeSurfer conventions.

◆ Prediction

A single release gives no basis for predicting cadence. The FreeSurfer alignment and multi-format channel handling suggest interoperability with established neuroimaging toolchains is the near-term priority.

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 ieegio 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 ieegio or pedmut.

See all ieegio alternatives → · See all pedmut alternatives →

Recent activity from ieegio and pedmut

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

  1. 2mo agoieegioburn_curve() writes electrode trajectories into volumes
  2. 2mo agopedmutgetParams() gains a programmatic output format
  3. 1y agopedmutSpecial lumping arrives for un-lumpable models
  4. 1y agopedmutReversibility transformations and rate adjustment
  5. 2y agopedmutMutation rate and boundedness diagnostics
  6. 3y agopedmutPM stabilisation and multi-lump strong lumpability
  7. 3y agopedmutlumpedModel() wrapper and lumping speedups

Frequently asked questions

What is the difference between ieegio and pedmut?

They serve adjacent needs but don't currently overlap on shipped themes. ieegio 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 ieegio better than pedmut?

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

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