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Comparison · Infra & APIs

BAS vs ncmR

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

BAS vs ncmR: at a glance

FeatureBASncmR
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesbayesian-statistics, model-averaging, mcmc, r-packagemicrobiome, ecology, neutral-community-model, shiny
Last editorial update1h ago2h 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 ncmR?

Three weeks from first CRAN submission to a point-and-click neutral community model

ncmR fits the neutral community model to microbiome and ecological abundance data. The whole feed is three weeks long: fit_ncm() and summary methods at 0.1.0 on 1 April, a scatter plot with fitted curve and confidence interval at 0.2.0, then a Shiny application wrapping both at 0.3.0, then a row-name bugfix. It is a new package moving fast in its first month.

Read the full ncmR trajectory →

BAS vs ncmR: 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.

N
ncmR
INFRA · APIS
0.0

Three weeks from first CRAN submission to a point-and-click neutral community model

◆ Current state

ncmR fits the neutral community model to microbiome and ecological abundance data. The whole feed is three weeks long: fit_ncm() and summary methods at 0.1.0 on 1 April, a scatter plot with fitted curve and confidence interval at 0.2.0, then a Shiny application wrapping both at 0.3.0, then a row-name bugfix. It is a new package moving fast in its first month.

◆ Where it's heading

The direction is toward users who do not write R. Version 0.2.0 added plotting, 0.3.0 wrapped fitting and plotting in Shiny modules, and the same release deleted the Unicode plotting helpers introduced one version earlier because the dependency they existed for was removed. That willingness to throw away a week-old API suggests the surface is still being negotiated rather than settled.

◆ Prediction

With a fitting module and a plotting module in the app, the remaining gap is getting results back out — export of fitted parameters or figures from the Shiny session. The bugfix at 0.3.1 was in file upload, which is where a GUI's problems usually start.

Alternatives to BAS and ncmR

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 ncmR.

See all BAS alternatives → · See all ncmR alternatives →

Recent activity from BAS and ncmR

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

  1. 4mo agoncmRRow names preserved during file upload conversion
  2. 4mo agoncmRA Shiny app for fitting and plotting neutral community models
  3. 4mo agoncmRScatter plot with fitted curve and confidence interval
  4. 4mo agoncmRFirst CRAN submission: neutral community model fitting in R
  5. 8mo agoBASBAS 2.0.2
  6. 8mo agoBASBAS 2.0.0
  7. 1y agoBASBAS 1.7.5
  8. 1y agoBASBAS 1.7.3
  9. 1y agoBASBAS 1.7.2
  10. 2y agoBASBAS 1.7.1

Frequently asked questions

What is the difference between BAS and ncmR?

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

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

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