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regfusionr vs sdsfun

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

Shared themes:r-package

regfusionr vs sdsfun: at a glance

Featureregfusionrsdsfun
SectorAnalyticsAnalytics
Velocity score3.80.0
Sparks · 30d10
Top themesneuroimaging, coordinate-mapping, freesurfer, r-packagespatial-statistics, geodetector, spatial-clustering, rcpp
Last editorial update6h ago1h ago
WebsiteVisit →Visit →

What is regfusionr?

Registration fusion mapping goes bidirectional, and a vertex-indexing bug that silently returned wrong coordinates is fixed

regfusionr maps coordinates between volumetric brain templates (MNI152, Colin27) and the fsaverage surface. After four dormant years it returned in July 2026 with a release that fixes a coordinate-indexing bug, unblocks a previously disabled function, and completes the template-by-method matrix so all four combinations answer point queries. It also breaks compatibility by switching to the standard FREESURFER_HOME environment variable.

Read the full regfusionr trajectory →

What is sdsfun?

A spatial-statistics utility package exists to be depended on, and is built accordingly.

sdsfun collects spatial data science utilities — neighbour lists, spatial constrained clustering, discretization, dummy variable generation, geographical detector statistics and projection helpers — with the computationally heavy parts implemented in Rcpp. It was assembled quickly across late 2024, adding a function set roughly every three weeks, and has slowed since to a couple of releases a year. The most recent work is corrective: no longer initializing the RNG state at load, fixing matrix inputs misread as vectors, and clearing an Armadillo deprecation.

Read the full sdsfun trajectory →

regfusionr vs sdsfun: editorial side-by-side

R
regfusionr
ANALYTICS
3.8

Registration fusion mapping goes bidirectional, and a vertex-indexing bug that silently returned wrong coordinates is fixed

◆ Current state

regfusionr maps coordinates between volumetric brain templates (MNI152, Colin27) and the fsaverage surface. After four dormant years it returned in July 2026 with a release that fixes a coordinate-indexing bug, unblocks a previously disabled function, and completes the template-by-method matrix so all four combinations answer point queries. It also breaks compatibility by switching to the standard FREESURFER_HOME environment variable.

◆ Where it's heading

The package moved from a partial implementation to a complete one in a single release. Before this, vol_coords_to_fsaverage returned coordinates indexed by query position rather than by vertex index — results that looked plausible and were wrong — and fsaverage_to_vol was guarded behind a stop(). Both are now resolved, and the new Colin27 and MNI152 convenience functions make the mapping bidirectional. The sibling package haze shipped a maintenance release 56 minutes later, marking this as a coordinated sweep across the maintainer's neuroimaging stack.

◆ Prediction

With the four template-by-method combinations closed and the coordinate bug fixed, the next release is more likely to be CRAN-adjacent packaging or documentation than new mapping capability.

S
sdsfun
ANALYTICS
0.0

A spatial-statistics utility package exists to be depended on, and is built accordingly.

◆ Current state

sdsfun collects spatial data science utilities — neighbour lists, spatial constrained clustering, discretization, dummy variable generation, geographical detector statistics and projection helpers — with the computationally heavy parts implemented in Rcpp. It was assembled quickly across late 2024, adding a function set roughly every three weeks, and has slowed since to a couple of releases a year. The most recent work is corrective: no longer initializing the RNG state at load, fixing matrix inputs misread as vectors, and clearing an Armadillo deprecation.

◆ Where it's heading

This is infrastructure for a family of packages rather than an end-user tool, and the changelog says so directly — functions were added to support gdverse and sesp, and moran_test was migrated in from geocomplexity. That migration pattern is the defining move: capability consolidates here so the downstream packages can share it instead of each carrying its own copy. Growth has slowed as that consolidation completed, leaving correctness and dependency upkeep.

◆ Prediction

Given the package moves when its dependents need something, the next release most likely brings in another shared function or responds to a downstream requirement rather than following its own plan. Armadillo and CRAN check changes remain the reliable source of maintenance work.

Alternatives to regfusionr and sdsfun

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 regfusionr or sdsfun.

See all regfusionr alternatives → · See all sdsfun alternatives →

Recent activity from regfusionr and sdsfun

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

  1. 18d agoregfusionrVersion 0.3.0 -- vol_to_fsaverage, many convenience functions and fixes
  2. 10mo agosdsfunPackage load stops touching the RNG state
  3. 1y agosdsfunUnified partial correlation testing and head/tails discretization
  4. 1y agosdsfunMissing-value handling added to linear trend removal
  5. 1y agosdsfunCovariate-based detrending and long-to-matrix spatial reshaping
  6. 1y agosdsfunSpatially constrained hierarchical clustering and SPADE estimation
  7. 1y agosdsfunFast geodetector q-value estimator added
  8. 4y agoregfusionrv0.2.0 -- surface to volume data projection
  9. 4y agoregfusionrv0.1.0: Initial release

Frequently asked questions

What is the difference between regfusionr and sdsfun?

Both compete on the same themes — r-package — within Analytics. regfusionr is currently shipping more aggressively (velocity 3.8 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is regfusionr better than sdsfun?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. regfusionr is currently shipping more aggressively (velocity 3.8 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to regfusionr?

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

What are the best alternatives to sdsfun?

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