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kernelshap vs socialmixr

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

Shared themes:r package

kernelshap vs socialmixr: at a glance

Featurekernelshapsocialmixr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesshap, model explainability, sampling algorithms, numerical correctnesscontact matrices, epidemiology, pipeline api, breaking changes
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is kernelshap?

kernelshap makes permutation SHAP practical past eight features, then fixes the kernel weights it had wrong.

kernelshap computes model-agnostic SHAP values in R through Kernel SHAP, permutation SHAP and an exact additive explainer. Version 0.8.0 added a sampling permutation-SHAP algorithm with standard errors and early stopping, lifting the practical feature ceiling past what the exact method allows. Version 0.9.0 then corrected a bug in how kernel weights were computed — exact Kernel SHAP now agrees with exact permutation SHAP — and moved parallelism from foreach to doFuture.

Read the full kernelshap trajectory →

What is socialmixr?

socialmixr breaks its one-shot contact_matrix() call into a composable pipeline.

socialmixr builds age-structured social contact matrices from survey data for infectious-disease modelling. Version 0.6.0 replaces the monolithic contact_matrix() entry point with a chain of composable steps — filter, assign age groups, weigh, compute, then symmetrise, split or convert per capita — behind a new contact_matrix S3 class. Survey downloading is being handed off to a separate contactsurveys package.

Read the full socialmixr trajectory →

kernelshap vs socialmixr: editorial side-by-side

K
kernelshap
ANALYTICS
0.0

kernelshap makes permutation SHAP practical past eight features, then fixes the kernel weights it had wrong.

◆ Current state

kernelshap computes model-agnostic SHAP values in R through Kernel SHAP, permutation SHAP and an exact additive explainer. Version 0.8.0 added a sampling permutation-SHAP algorithm with standard errors and early stopping, lifting the practical feature ceiling past what the exact method allows. Version 0.9.0 then corrected a bug in how kernel weights were computed — exact Kernel SHAP now agrees with exact permutation SHAP — and moved parallelism from foreach to doFuture.

◆ Where it's heading

Two concerns drive this package: making exact methods reach further, and being demonstrably right. The first shows in the additive explainer, the optional background dataset and the sampling permutation algorithm; the second in unit tests written against Python's shap, credited fixes from outside contributors, and a willingness to ship a correctness fix that changes numbers people have already published. Speed work runs continuously underneath — direct solves replacing the Moore-Penrose pseudo-inverse, roughly 10% less memory.

◆ Prediction

The 0.6.0 and 0.7.0 notes each promised a stable 1.0.0 that has not arrived; with the weighting bug fixed and parallelism reworked, a 1.0 release is the most plausible next step.

S
socialmixr
ANALYTICS
0.0

socialmixr breaks its one-shot contact_matrix() call into a composable pipeline.

◆ Current state

socialmixr builds age-structured social contact matrices from survey data for infectious-disease modelling. Version 0.6.0 replaces the monolithic contact_matrix() entry point with a chain of composable steps — filter, assign age groups, weigh, compute, then symmetrise, split or convert per capita — behind a new contact_matrix S3 class. Survey downloading is being handed off to a separate contactsurveys package.

◆ Where it's heading

The arc from 0.4.0 to 0.6.0 is decomposition: first extracting helpers like assign_age_groups(), then moving downloads out of the package, and now exposing every stage of matrix construction as its own verb. Breaking changes are accepted at each step — preserved empty age groups, arrays instead of xtabs, [N,Inf) labels — with the new class inheriting from list so existing $matrix access keeps working. The label change is explicitly aligned with the contactmatrix package.

◆ Prediction

Expect the deprecated dotted argument names and the remaining in-package download paths to be removed once the contactsurveys handoff completes, leaving contact_matrix() as a thin wrapper over the pipeline.

Alternatives to kernelshap and socialmixr

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 kernelshap or socialmixr.

See all kernelshap alternatives → · See all socialmixr alternatives →

Recent activity from kernelshap and socialmixr

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

  1. 3mo agosocialmixrContact matrices become a composable pipeline
  2. 6mo agosocialmixrPatch: load_survey() handles files without cont_id
  3. 6mo agosocialmixrAge-group assignment and population lookup split out
  4. 1y agokernelshapKernel weight bug fixed; parallelism moves to doFuture
  5. 1y agokernelshapSampling permutation SHAP with standard errors
  6. 1y agosocialmixrFaster survey loading and cached Zenodo lookups
  7. 1y agokernelshapBackground data now optional; ranger survival support
  8. 2y agokernelshapFactor-valued predictions dropped
  9. 2y agokernelshapadditive_shap() explains additive models exactly
  10. 2y agosocialmixrcontact_matrix() now takes survey objects only
  11. 2y agokernelshapFaster on plain data.frames
  12. 2y agosocialmixrTest fixes for machine-precision failures

Frequently asked questions

What is the difference between kernelshap and socialmixr?

Both compete on the same themes — r package — within Analytics. kernelshap and socialmixr 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 kernelshap better than socialmixr?

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

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

What are the best alternatives to socialmixr?

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