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Comparison · Infra & APIs

BAS vs samplr

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

Shared themes:mcmcr-package

BAS vs samplr: at a glance

FeatureBASsamplr
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesbayesian-statistics, model-averaging, mcmc, r-packagecognitive-science, sampling-algorithms, mcmc, dormant
Last editorial update48m ago1h 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 samplr?

A cognitive-science sampling package ships once, then goes quiet for eighteen months

samplr compares human performance against sampling algorithms, giving cognitive scientists the MCMC machinery to test whether people behave like samplers. Its entire public history is three releases: a 1.0.0 in August 2024, a floating-point fix eighteen seconds later, and then nothing until a February 2026 patch. The release notes are unusually thin even by CRAN standards.

Read the full samplr trajectory →

BAS vs samplr: 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.

S
samplr
INFRA · APIS
0.0

A cognitive-science sampling package ships once, then goes quiet for eighteen months

◆ Current state

samplr compares human performance against sampling algorithms, giving cognitive scientists the MCMC machinery to test whether people behave like samplers. Its entire public history is three releases: a 1.0.0 in August 2024, a floating-point fix eighteen seconds later, and then nothing until a February 2026 patch. The release notes are unusually thin even by CRAN standards.

◆ Where it's heading

The feed shows a package that shipped and stopped. The 2024 tags were both created in one sitting and say almost nothing; the 2026 release is a row-count bug in Mean_Variance() bundled with citation metadata, a dropped dependency and http-to-https link fixes — the housekeeping profile of a package being kept alive for the paper that cites it rather than actively developed.

◆ Prediction

Adding citation information to the README is usually the move of a maintainer expecting the package to be referenced rather than extended. On this cadence the next release is more likely another CRAN-hygiene patch than new algorithms; there is not enough in these notes to say otherwise.

Alternatives to BAS and samplr

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 samplr.

See all BAS alternatives → · See all samplr alternatives →

Recent activity from BAS and samplr

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

  1. 5mo agosamplrMean_Variance() row count corrected after eighteen months
  2. 8mo agoBASBAS 2.0.2
  3. 8mo agoBASBAS 2.0.0
  4. 1y agoBASBAS 1.7.5
  5. 1y agoBASBAS 1.7.3
  6. 1y agoBASBAS 1.7.2
  7. 1y agosamplrFloating point comparison fix
  8. 1y agosamplrsamplr 1.0.0
  9. 2y agoBASBAS 1.7.1

Frequently asked questions

What is the difference between BAS and samplr?

Both compete on the same themes — mcmc, r-package — within Infra & APIs. BAS and samplr 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 samplr?

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

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