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BAS vs robscale

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

BAS vs robscale: at a glance

FeatureBASrobscale
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesbayesian-statistics, model-averaging, mcmc, r-packagerobust-statistics, simd, performance, cran
Last editorial update49m ago22h ago
WebsiteVisit →Visit →

What is BAS?

A Bayesian model-averaging package spending its 2.0 on memory, not methods.

BAS performs Bayesian variable selection and model averaging for linear and generalized linear models, sampling from a model space too large to enumerate. The visible history splits cleanly: 2023-2024 added sampling machinery — an adaptive independent MCMC sampler with Horvitz-Thompson estimation, hereditary-constraint counting — while 2.0.0 in late 2025 reworked how sampler output is allocated in C. The 2.0.2 patch is a PROTECT fix for rchk warnings.

Read the full BAS trajectory →

What is robscale?

A robust-statistics package rewrote its estimators in SIMD C++ and went to CRAN in two weeks.

robscale computes robust scale and location estimators, and its pitch is speed: 21 to 26 times faster than stats::mad, 37 times faster than stats::IQR on small samples, with comparable margins over robustbase for Qn and Sn. The March 2026 releases took it from a GitHub project to a CRAN package carrying eleven estimators, all with confidence intervals.

Read the full robscale trajectory →

BAS vs robscale: editorial side-by-side

B
BAS
INFRA · APIS
0.0

A Bayesian model-averaging package spending its 2.0 on memory, not methods.

◆ Current state

BAS performs Bayesian variable selection and model averaging for linear and generalized linear models, sampling from a model space too large to enumerate. The visible history splits cleanly: 2023-2024 added sampling machinery — an adaptive independent MCMC sampler with Horvitz-Thompson estimation, hereditary-constraint counting — while 2.0.0 in late 2025 reworked how sampler output is allocated in C. The 2.0.2 patch is a PROTECT fix for rchk warnings.

◆ Where it's heading

Memory is the binding constraint and the releases say so directly. The hereditary-constraint counter, the GROW option, and the replacement of over-allocation with resizing all attack the same problem: n.models is a guess, and guessing high wastes memory on problems where few unique models are actually visited. The 2.0.0 work was additionally forced by R tightening its C API against non-API calls like SETLENGTH, a constraint every C-heavy CRAN package has been absorbing. Method development has been quiet since 1.7.x.

◆ Prediction

The 1.7.5 notes call the hereditary-constraint counting a first step and say future updates will cover other constraint types, including polynomials, which remain unhandled. That is the one concrete commitment in this history, though nothing since has returned to it.

R
robscale
INFRA · APIS
0.0

A robust-statistics package rewrote its estimators in SIMD C++ and went to CRAN in two weeks.

◆ Current state

robscale computes robust scale and location estimators, and its pitch is speed: 21 to 26 times faster than stats::mad, 37 times faster than stats::IQR on small samples, with comparable margins over robustbase for Qn and Sn. The March 2026 releases took it from a GitHub project to a CRAN package carrying eleven estimators, all with confidence intervals.

◆ Where it's heading

Three releases in a fortnight walk a clear line: expand the public API, submit to CRAN, then tune. The 0.5.4 work is where that tuning shows, and it is unusually specific about hardware, raising sorting-network thresholds after benchmarking and dropping the AVX-512 path entirely in favour of a shorter AVX2-first dispatch chain. The build-fix lists are long, which is what a package fighting compiler and TBB variation across CRAN's platforms looks like.

◆ Prediction

The dispatch hierarchy has been simplified once already; further releases most likely continue narrowing the SIMD surface and hardening the configure step rather than adding estimators. A new estimator would be the surprise.

Alternatives to BAS and robscale

Other Infra & APIs 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 BAS or robscale.

See all BAS alternatives → · See all robscale alternatives →

Recent activity from BAS and robscale

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

  1. 4mo agorobscaleSIMD median networks land; AVX-512 dispatch is dropped
  2. 4mo agorobscaleCRAN submission ships 11 robust estimators with bootstrap intervals
  3. 5mo agorobscalescale_robust() dispatcher and four new estimators join the public API
  4. 8mo agoBASBAS 2.0.2
  5. 8mo agoBASBAS 2.0.0
  6. 1y agoBASBAS 1.7.5
  7. 1y agoBASBAS 1.7.3
  8. 1y agoBASBAS 1.7.2
  9. 2y agoBASBAS 1.7.1

Frequently asked questions

What is the difference between BAS and robscale?

They serve adjacent needs but don't currently overlap on shipped themes. BAS and robscale 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 BAS better than robscale?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. BAS and robscale 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 Infra & APIs products to evaluate alongside.

What are the best alternatives to BAS?

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

What are the best alternatives to robscale?

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