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kde1d vs regfusionr

A side-by-side editorial comparison of kde1d and regfusionr — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

kde1d vs regfusionr: at a glance

Featurekde1dregfusionr
SectorAnalyticsAnalytics
Velocity score0.03.8
Sparks · 30d01
Top themesdensity-estimation, kernel-methods, zero-inflation, cpp-libraryneuroimaging, coordinate-mapping, freesurfer, r-package
Last editorial update49m ago6h ago
WebsiteVisit →Visit →

What is kde1d?

A univariate density estimator that added zero-inflated data and reopened its C++ API to do it.

kde1d estimates univariate densities with local polynomial kernel methods, handling bounded, discrete and now zero-inflated variables through a single type argument, with the numerical work in a header-only C++ library usable outside R. Version 1.1.0 added the zero-inflated discrete-continuous mixture case and shipped a new C++ API as an explicit breaking change; 1.1.1 followed in June with auto-generated notes and no description.

Read the full kde1d trajectory →

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 →

kde1d vs regfusionr: editorial side-by-side

K
kde1d
ANALYTICS
0.0

A univariate density estimator that added zero-inflated data and reopened its C++ API to do it.

◆ Current state

kde1d estimates univariate densities with local polynomial kernel methods, handling bounded, discrete and now zero-inflated variables through a single type argument, with the numerical work in a header-only C++ library usable outside R. Version 1.1.0 added the zero-inflated discrete-continuous mixture case and shipped a new C++ API as an explicit breaking change; 1.1.1 followed in June with auto-generated notes and no description.

◆ Where it's heading

The package has alternated between performance work and widening the class of data it accepts. The 1.0.0 release was the performance milestone — FFT-based estimation, a better integration algorithm for the p, q and r functions, deterministic jittering replacing randomness, and standalone C++ headers. The 1.1.0 release is the scope milestone, adding a third data type to the two it already handled. Releases come from the same maintainer as svines and cluster on shared dates, so changes in the underlying C++ surface across the vine and density stack tend to ship together.

◆ Prediction

With the C++ API deliberately reworked for standalone use at 1.1.0, further work most plausibly consolidates that interface rather than adding data types. What 1.1.1 actually changed is not readable from its body.

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.

Alternatives to kde1d and regfusionr

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 kde1d or regfusionr.

See all kde1d alternatives → · See all regfusionr alternatives →

Recent activity from kde1d and regfusionr

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. 1y agokde1dkde1d 1.1.1
  3. 1y agokde1dZero-inflated mixtures and a new standalone C++ API
  4. 4y agoregfusionrv0.2.0 -- surface to volume data projection
  5. 4y agokde1dBit-wise Boolean operations removed
  6. 4y agoregfusionrv0.1.0: Initial release
  7. 5y agokde1ddkde1d() invisible output fixed
  8. 5y agokde1dValgrind false positive silenced
  9. 6y agokde1dqrng dependency dropped; undefined behaviour fixed

Frequently asked questions

What is the difference between kde1d and regfusionr?

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 kde1d better than regfusionr?

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 kde1d?

Top kde1d alternatives in Analytics are ranked by recent ship velocity. Browse the "kde1d alternatives" section above for the current picks, or visit /alternatives/kde1d for the full list with editorial commentary on each.

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.